Overview

Dataset statistics

Number of variables87
Number of observations14149
Missing cells4100
Missing cells (%)0.3%
Total size in memory9.4 MiB
Average record size in memory696.0 B

Variable types

DateTime1
Numeric86

Alerts

final.output.concentrate_sol has 211 (1.5%) missing values Missing
primary_cleaner.output.concentrate_sol has 286 (2.0%) missing values Missing
rougher.input.feed_size has 144 (1.0%) missing values Missing
rougher.input.floatbank11_xanthate has 428 (3.0%) missing values Missing
rougher.state.floatbank10_e_air has 436 (3.1%) missing values Missing
secondary_cleaner.output.tail_sol has 1605 (11.3%) missing values Missing
secondary_cleaner.state.floatbank2_a_air has 217 (1.5%) missing values Missing
rougher.calculation.sulfate_to_au_concentrate is highly skewed (γ1 = -102.0018519) Skewed
rougher.calculation.floatbank10_sulfate_to_au_feed is highly skewed (γ1 = 94.80878955) Skewed
rougher.calculation.floatbank11_sulfate_to_au_feed is highly skewed (γ1 = 92.64821923) Skewed
date has unique values Unique
rougher.state.floatbank10_d_air has unique values Unique
rougher.state.floatbank10_d_level has unique values Unique
rougher.state.floatbank10_e_level has unique values Unique
rougher.state.floatbank10_f_air has unique values Unique
rougher.state.floatbank10_f_level has unique values Unique
rougher.output.concentrate_ag has 297 (2.1%) zeros Zeros
rougher.output.concentrate_pb has 297 (2.1%) zeros Zeros
rougher.output.concentrate_sol has 297 (2.1%) zeros Zeros
rougher.output.concentrate_au has 297 (2.1%) zeros Zeros
rougher.output.recovery has 297 (2.1%) zeros Zeros
secondary_cleaner.output.tail_ag has 739 (5.2%) zeros Zeros
secondary_cleaner.output.tail_pb has 739 (5.2%) zeros Zeros
secondary_cleaner.output.tail_sol has 739 (5.2%) zeros Zeros
secondary_cleaner.output.tail_au has 739 (5.2%) zeros Zeros

Reproduction

Analysis started2022-04-06 09:52:23.771963
Analysis finished2022-04-06 09:52:24.843261
Duration1.07 second
Software versionpandas-profiling v3.1.0
Download configurationconfig.json

Variables

date
Date

UNIQUE

Distinct14149
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size110.7 KiB
Minimum2016-01-15 00:00:00
Maximum2018-08-18 10:59:59
2022-04-06T14:52:24.923923image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-04-06T14:52:25.010949image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

final.output.concentrate_ag
Real number (ℝ≥0)

Distinct14064
Distinct (%)99.4%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean5.142033646
Minimum0
Maximum16.00194512
Zeros58
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:25.106384image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.430270536
Q14.211619844
median4.9946519
Q35.859539764
95-th percentile7.459386233
Maximum16.00194512
Range16.00194512
Interquartile range (IQR)1.64791992

Descriptive statistics

Standard deviation1.369585609
Coefficient of variation (CV)0.2663509621
Kurtosis3.621839913
Mean5.142033646
Median Absolute Deviation (MAD)0.8200460183
Skewness0.8576733002
Sum72749.49203
Variance1.875764741
MonotonicityNot monotonic
2022-04-06T14:52:25.194297image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
058
 
0.4%
5.92537975311
 
0.1%
3.5545580397
 
< 0.1%
5.4135475165
 
< 0.1%
5.9554033285
 
< 0.1%
3.636005643
 
< 0.1%
3.1329674722
 
< 0.1%
2.9319138021
 
< 0.1%
3.3027987261
 
< 0.1%
3.1442587951
 
< 0.1%
Other values (14054)14054
99.3%
ValueCountFrequency (%)
058
0.4%
0.0099999997761
 
< 0.1%
0.28905856031
 
< 0.1%
0.37178349861
 
< 0.1%
0.59463046641
 
< 0.1%
ValueCountFrequency (%)
16.001945121
< 0.1%
13.691698781
< 0.1%
13.673505671
< 0.1%
13.571230831
< 0.1%
13.547756561
< 0.1%

final.output.concentrate_pb
Real number (ℝ≥0)

Distinct14050
Distinct (%)99.3%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean10.13295966
Minimum0
Maximum17.03189946
Zeros58
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:25.284009image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.551777331
Q19.297354542
median10.29714445
Q311.17060335
95-th percentile12.35508466
Maximum17.03189946
Range17.03189946
Interquartile range (IQR)1.873248806

Descriptive statistics

Standard deviation1.654930193
Coefficient of variation (CV)0.1633215021
Kurtosis6.796471178
Mean10.13295966
Median Absolute Deviation (MAD)0.9293310874
Skewness-1.514479841
Sum143361.1133
Variance2.738793944
MonotonicityNot monotonic
2022-04-06T14:52:25.366665image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
058
 
0.4%
14.7646484411
 
0.1%
11.452148448
 
0.1%
12.202148447
 
< 0.1%
9.3896484386
 
< 0.1%
11.514648444
 
< 0.1%
11.202148443
 
< 0.1%
9.4521484382
 
< 0.1%
9.5771484382
 
< 0.1%
9.2021484382
 
< 0.1%
Other values (14040)14045
99.3%
ValueCountFrequency (%)
058
0.4%
0.0099999997761
 
< 0.1%
0.33239127721
 
< 0.1%
0.62930234491
 
< 0.1%
1.2549340641
 
< 0.1%
ValueCountFrequency (%)
17.031899461
< 0.1%
16.705296581
< 0.1%
15.962200551
< 0.1%
15.538095981
< 0.1%
15.24998161
< 0.1%

final.output.concentrate_sol
Real number (ℝ≥0)

MISSING

Distinct13853
Distinct (%)99.4%
Missing211
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean9.202849245
Minimum0
Maximum18.12485094
Zeros58
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:25.455227image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.655966136
Q17.484645176
median8.845461998
Q310.48750787
95-th percentile14.79310165
Maximum18.12485094
Range18.12485094
Interquartile range (IQR)3.002862697

Descriptive statistics

Standard deviation2.790516484
Coefficient of variation (CV)0.3032231007
Kurtosis0.9669907954
Mean9.202849245
Median Absolute Deviation (MAD)1.478998049
Skewness0.3624066526
Sum128269.3128
Variance7.786982246
MonotonicityNot monotonic
2022-04-06T14:52:25.536891image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
058
 
0.4%
6.66357421911
 
0.1%
13.827148447
 
< 0.1%
8.7313194275
 
< 0.1%
8.010768895
 
< 0.1%
8.2646484383
 
< 0.1%
6.8086419113
 
< 0.1%
8.515213141
 
< 0.1%
8.8164074911
 
< 0.1%
8.5537073251
 
< 0.1%
Other values (13843)13843
97.8%
(Missing)211
 
1.5%
ValueCountFrequency (%)
058
0.4%
0.0099999997761
 
< 0.1%
0.25323069411
 
< 0.1%
0.29109874191
 
< 0.1%
0.36056159241
 
< 0.1%
ValueCountFrequency (%)
18.124850941
< 0.1%
18.046395011
< 0.1%
18.038131211
< 0.1%
18.014529061
< 0.1%
17.996439571
< 0.1%

final.output.concentrate_au
Real number (ℝ≥0)

Distinct14065
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.00379162
Minimum0
Maximum52.75663762
Zeros58
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:25.623567image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile38.14109279
Q143.27611087
median44.87243586
Q346.1664248
95-th percentile48.05887395
Maximum52.75663762
Range52.75663762
Interquartile range (IQR)2.89031393

Descriptive statistics

Standard deviation4.905260803
Coefficient of variation (CV)0.111473594
Kurtosis37.20985657
Mean44.00379162
Median Absolute Deviation (MAD)1.41909344
Skewness-5.181278525
Sum622609.6476
Variance24.06158354
MonotonicityNot monotonic
2022-04-06T14:52:25.714961image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
058
 
0.4%
37.3368492111
 
0.1%
44.52821357
 
< 0.1%
45.270618445
 
< 0.1%
42.527938845
 
< 0.1%
46.085216523
 
< 0.1%
48.166564942
 
< 0.1%
50.880233471
 
< 0.1%
49.447253371
 
< 0.1%
50.032288831
 
< 0.1%
Other values (14055)14055
99.3%
ValueCountFrequency (%)
058
0.4%
0.0099999997761
 
< 0.1%
1.0639915171
 
< 0.1%
1.4829791081
 
< 0.1%
3.5052673051
 
< 0.1%
ValueCountFrequency (%)
52.756637621
< 0.1%
52.681725241
< 0.1%
51.57188471
< 0.1%
51.499939761
< 0.1%
51.489611631
< 0.1%

final.output.recovery
Real number (ℝ≥0)

Distinct14008
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.51883213
Minimum0
Maximum100
Zeros58
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:25.800132image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile50.08604042
Q162.54581681
median67.43277549
Q372.34642837
95-th percentile78.8569977
Maximum100
Range100
Interquartile range (IQR)9.800611557

Descriptive statistics

Standard deviation10.29540151
Coefficient of variation (CV)0.1547742374
Kurtosis9.779186818
Mean66.51883213
Median Absolute Deviation (MAD)4.898600634
Skewness-1.795941023
Sum941174.9558
Variance105.9952923
MonotonicityNot monotonic
2022-04-06T14:52:25.884802image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10075
 
0.5%
058
 
0.4%
67.275194655
 
< 0.1%
75.962756945
 
< 0.1%
71.641604113
 
< 0.1%
68.457201631
 
< 0.1%
61.412898621
 
< 0.1%
60.410946161
 
< 0.1%
62.272988141
 
< 0.1%
57.110917681
 
< 0.1%
Other values (13998)13998
98.9%
ValueCountFrequency (%)
058
0.4%
0.16861094151
 
< 0.1%
0.430263711
 
< 0.1%
0.46371101851
 
< 0.1%
2.0806723741
 
< 0.1%
ValueCountFrequency (%)
10075
0.5%
99.91018311
 
< 0.1%
99.741478431
 
< 0.1%
99.66670061
 
< 0.1%
99.555574141
 
< 0.1%

final.output.tail_ag
Real number (ℝ≥0)

Distinct14062
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.607034996
Minimum0
Maximum19.55214857
Zeros75
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:25.969680image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.66152202
Q17.997428641
median9.480270138
Q311.00370721
95-th percentile13.49109801
Maximum19.55214857
Range19.55214857
Interquartile range (IQR)3.00627857

Descriptive statistics

Standard deviation2.319069221
Coefficient of variation (CV)0.241392815
Kurtosis2.034923383
Mean9.607034996
Median Absolute Deviation (MAD)1.500677474
Skewness-0.03012590754
Sum135929.9382
Variance5.378082054
MonotonicityNot monotonic
2022-04-06T14:52:26.054461image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
075
 
0.5%
7.9588217747
 
< 0.1%
9.4969558725
 
< 0.1%
10.441984183
 
< 0.1%
7.3812208182
 
< 0.1%
10.411961561
 
< 0.1%
7.4204330351
 
< 0.1%
7.1101780081
 
< 0.1%
6.9126176031
 
< 0.1%
6.7611884641
 
< 0.1%
Other values (14052)14052
99.3%
ValueCountFrequency (%)
075
0.5%
0.016789635481
 
< 0.1%
0.080674424571
 
< 0.1%
0.10162358471
 
< 0.1%
0.13570860191
 
< 0.1%
ValueCountFrequency (%)
19.552148571
< 0.1%
19.15722381
< 0.1%
19.153463561
< 0.1%
19.152445541
< 0.1%
18.972692841
< 0.1%

final.output.tail_pb
Real number (ℝ≥0)

Distinct13962
Distinct (%)99.4%
Missing100
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean2.59729798
Minimum0
Maximum5.639565029
Zeros75
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:26.143154image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.082338408
Q11.905972597
median2.59202196
Q33.241723322
95-th percentile4.241073187
Maximum5.639565029
Range5.639565029
Interquartile range (IQR)1.335750726

Descriptive statistics

Standard deviation0.9718427683
Coefficient of variation (CV)0.3741745367
Kurtosis-0.2251814534
Mean2.59729798
Median Absolute Deviation (MAD)0.6713637278
Skewness0.09955788107
Sum36489.43932
Variance0.9444783663
MonotonicityNot monotonic
2022-04-06T14:52:26.220114image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
075
 
0.5%
4.2260742197
 
< 0.1%
2.0349121095
 
< 0.1%
4.4135742193
 
< 0.1%
2.4567871092
 
< 0.1%
0.89544677731
 
< 0.1%
3.6778354021
 
< 0.1%
3.7550337061
 
< 0.1%
3.9503946751
 
< 0.1%
4.0781438681
 
< 0.1%
Other values (13952)13952
98.6%
(Missing)100
 
0.7%
ValueCountFrequency (%)
075
0.5%
0.0045082234231
 
< 0.1%
0.018764259431
 
< 0.1%
0.030546387571
 
< 0.1%
0.058488221521
 
< 0.1%
ValueCountFrequency (%)
5.6395650291
< 0.1%
5.6381544021
< 0.1%
5.6139649841
< 0.1%
5.5886118191
< 0.1%
5.5747934381
< 0.1%

final.output.tail_sol
Real number (ℝ≥0)

Distinct14057
Distinct (%)99.4%
Missing5
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean10.5121222
Minimum0
Maximum22.31773034
Zeros75
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:26.303169image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.921842235
Q18.811324481
median10.51462097
Q311.93300851
95-th percentile16.49044844
Maximum22.31773034
Range22.31773034
Interquartile range (IQR)3.121684033

Descriptive statistics

Standard deviation3.00361685
Coefficient of variation (CV)0.2857288751
Kurtosis1.727616922
Mean10.5121222
Median Absolute Deviation (MAD)1.563081413
Skewness0.1948251997
Sum148683.4563
Variance9.021714179
MonotonicityNot monotonic
2022-04-06T14:52:26.380493image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
075
 
0.5%
9.8271484387
 
< 0.1%
8.2646484385
 
< 0.1%
8.8896484383
 
< 0.1%
10.764648442
 
< 0.1%
16.904296881
 
< 0.1%
10.679993961
 
< 0.1%
12.202423111
 
< 0.1%
11.788124561
 
< 0.1%
12.374520581
 
< 0.1%
Other values (14047)14047
99.3%
(Missing)5
 
< 0.1%
ValueCountFrequency (%)
075
0.5%
0.10482713551
 
< 0.1%
0.13145172021
 
< 0.1%
0.16099047731
 
< 0.1%
0.18618983771
 
< 0.1%
ValueCountFrequency (%)
22.317730341
< 0.1%
22.272018821
< 0.1%
22.194637011
< 0.1%
21.767223581
< 0.1%
21.731551811
< 0.1%

final.output.tail_au
Real number (ℝ≥0)

Distinct14062
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.918420775
Minimum0
Maximum8.197408205
Zeros75
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:26.461371image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.616901587
Q12.36860728
median2.851025298
Q33.434764418
95-th percentile4.380752858
Maximum8.197408205
Range8.197408205
Interquartile range (IQR)1.066157138

Descriptive statistics

Standard deviation0.903712432
Coefficient of variation (CV)0.3096580315
Kurtosis2.096451427
Mean2.918420775
Median Absolute Deviation (MAD)0.5295422697
Skewness0.4740769367
Sum41292.73554
Variance0.8166961598
MonotonicityNot monotonic
2022-04-06T14:52:26.538681image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
075
 
0.5%
3.1992776397
 
< 0.1%
2.0539741525
 
< 0.1%
2.0159137253
 
< 0.1%
3.7039308552
 
< 0.1%
2.1431493761
 
< 0.1%
3.0684766431
 
< 0.1%
3.3849415351
 
< 0.1%
3.5045056621
 
< 0.1%
3.2387832041
 
< 0.1%
Other values (14052)14052
99.3%
ValueCountFrequency (%)
075
0.5%
0.0054618635581
 
< 0.1%
0.016072624691
 
< 0.1%
0.020922407731
 
< 0.1%
0.06968610461
 
< 0.1%
ValueCountFrequency (%)
8.1974082051
< 0.1%
7.8128006171
< 0.1%
7.6751639341
< 0.1%
7.490731811
< 0.1%
7.3793912441
< 0.1%

primary_cleaner.input.sulfate
Real number (ℝ≥0)

Distinct14129
Distinct (%)100.0%
Missing20
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean133.3206589
Minimum0.003111819874
Maximum250.1278341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:26.617231image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.003111819874
5-th percentile67.85900698
Q1107.0066508
median133.0183278
Q3159.8253962
95-th percentile200.3693824
Maximum250.1278341
Range250.1247223
Interquartile range (IQR)52.81874548

Descriptive statistics

Standard deviation39.43165853
Coefficient of variation (CV)0.295765554
Kurtosis-0.1156172214
Mean133.3206589
Median Absolute Deviation (MAD)26.46486566
Skewness-0.05146549985
Sum1883687.589
Variance1554.855695
MonotonicityNot monotonic
2022-04-06T14:52:26.700214image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.09200291
 
< 0.1%
125.643891
 
< 0.1%
174.31329251
 
< 0.1%
189.1987591
 
< 0.1%
192.31789741
 
< 0.1%
186.08317861
 
< 0.1%
180.4961481
 
< 0.1%
166.84681831
 
< 0.1%
160.41979491
 
< 0.1%
146.26793361
 
< 0.1%
Other values (14119)14119
99.8%
(Missing)20
 
0.1%
ValueCountFrequency (%)
0.0031118198741
< 0.1%
0.051279452681
< 0.1%
0.067424293241
< 0.1%
0.12913876321
< 0.1%
0.3966616411
< 0.1%
ValueCountFrequency (%)
250.12783411
< 0.1%
250.07070061
< 0.1%
238.17608021
< 0.1%
237.86216691
< 0.1%
237.14337371
< 0.1%
Distinct14108
Distinct (%)99.9%
Missing32
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean8.86699596
Minimum0
Maximum20.05225543
Zeros10
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:26.783767image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.001836958
Q16.040603595
median8.03581147
Q311.52217348
95-th percentile14.99729906
Maximum20.05225543
Range20.05225543
Interquartile range (IQR)5.481569885

Descriptive statistics

Standard deviation3.36158895
Coefficient of variation (CV)0.3791124937
Kurtosis-0.3481817562
Mean8.86699596
Median Absolute Deviation (MAD)2.076836954
Skewness0.4221611803
Sum125175.382
Variance11.30028027
MonotonicityNot monotonic
2022-04-06T14:52:26.866326image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
010
 
0.1%
10.128294941
 
< 0.1%
6.9234048911
 
< 0.1%
7.0338773921
 
< 0.1%
7.0034803841
 
< 0.1%
6.9393258751
 
< 0.1%
7.0527431341
 
< 0.1%
6.9955067241
 
< 0.1%
6.95302781
 
< 0.1%
6.9122497591
 
< 0.1%
Other values (14098)14098
99.6%
(Missing)32
 
0.2%
ValueCountFrequency (%)
010
0.1%
0.0077205101871
 
< 0.1%
0.012244072951
 
< 0.1%
0.012373085041
 
< 0.1%
0.01741677181
 
< 0.1%
ValueCountFrequency (%)
20.052255431
< 0.1%
20.036965071
< 0.1%
20.022786051
< 0.1%
20.021290481
< 0.1%
20.014703491
< 0.1%

primary_cleaner.input.feed_size
Real number (ℝ≥0)

Distinct3732
Distinct (%)26.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.322309907
Minimum1.080000043
Maximum10.47000027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:26.953031image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1.080000043
5-th percentile6.409999847
Q16.960000038
median7.289999962
Q37.699999759
95-th percentile8.380000114
Maximum10.47000027
Range9.390000224
Interquartile range (IQR)0.7399997207

Descriptive statistics

Standard deviation0.6140622641
Coefficient of variation (CV)0.08386182393
Kurtosis6.238196701
Mean7.322309907
Median Absolute Deviation (MAD)0.3600001335
Skewness-0.4783937844
Sum103603.3629
Variance0.3770724642
MonotonicityNot monotonic
2022-04-06T14:52:27.034439image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.25312
 
2.2%
7210
 
1.5%
7.300000191204
 
1.4%
7.699999809158
 
1.1%
7.28000021144
 
1.0%
6.800000191139
 
1.0%
7.5138
 
1.0%
7.420000076136
 
1.0%
7.309999943128
 
0.9%
7.800000191121
 
0.9%
Other values (3722)12459
88.1%
ValueCountFrequency (%)
1.0800000437
< 0.1%
1.0800073831
 
< 0.1%
4.9699997913
0.1%
5.3099999439
0.1%
5.4099998473
 
< 0.1%
ValueCountFrequency (%)
10.470000272
< 0.1%
10.100000381
< 0.1%
10.100000191
< 0.1%
9.51
< 0.1%
9.4999989751
< 0.1%

primary_cleaner.input.xanthate
Real number (ℝ≥0)

Distinct14049
Distinct (%)100.0%
Missing100
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean0.8855876583
Minimum4.632753108 × 10-6
Maximum2.512968368
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:27.116837image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum4.632753108 × 10-6
5-th percentile0.310583963
Q10.6070208501
median0.8887485595
Q31.100933005
95-th percentile1.588273896
Maximum2.512968368
Range2.512963735
Interquartile range (IQR)0.4939121545

Descriptive statistics

Standard deviation0.3727138543
Coefficient of variation (CV)0.4208661343
Kurtosis0.08659896481
Mean0.8855876583
Median Absolute Deviation (MAD)0.2304024212
Skewness0.4000983246
Sum12441.62101
Variance0.1389156172
MonotonicityNot monotonic
2022-04-06T14:52:27.201384image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.98875904081
 
< 0.1%
0.97805364751
 
< 0.1%
1.32399441
 
< 0.1%
1.3355516991
 
< 0.1%
1.2774143291
 
< 0.1%
1.29094851
 
< 0.1%
1.2667616721
 
< 0.1%
1.3144572981
 
< 0.1%
1.1973392561
 
< 0.1%
1.2145199851
 
< 0.1%
Other values (14039)14039
99.2%
(Missing)100
 
0.7%
ValueCountFrequency (%)
4.632753108 × 10-61
< 0.1%
0.00015439556511
< 0.1%
0.00021350626931
< 0.1%
0.00029093722781
< 0.1%
0.00034558178091
< 0.1%
ValueCountFrequency (%)
2.5129683681
< 0.1%
2.5068908721
< 0.1%
2.5009202481
< 0.1%
2.4924387681
< 0.1%
2.3326452721
< 0.1%
Distinct13950
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.200915815
Minimum0
Maximum16.08163175
Zeros74
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:27.288508image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.343472204
Q17.107126111
median8.226247497
Q39.504924242
95-th percentile11.14427106
Maximum16.08163175
Range16.08163175
Interquartile range (IQR)2.397798131

Descriptive statistics

Standard deviation2.00518519
Coefficient of variation (CV)0.2445074715
Kurtosis3.17926115
Mean8.200915815
Median Absolute Deviation (MAD)1.192627355
Skewness-0.9525260221
Sum116034.7579
Variance4.020767647
MonotonicityNot monotonic
2022-04-06T14:52:27.372667image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.009999999776117
 
0.8%
074
 
0.5%
7.9253339775
 
< 0.1%
9.987871175
 
< 0.1%
7.3558430673
 
< 0.1%
7.4118400731
 
< 0.1%
6.6917993171
 
< 0.1%
7.0134813231
 
< 0.1%
2.1418923631
 
< 0.1%
8.5433429171
 
< 0.1%
Other values (13940)13940
98.5%
ValueCountFrequency (%)
074
0.5%
0.009999999776117
0.8%
0.018660508271
 
< 0.1%
0.038085604391
 
< 0.1%
0.11609691521
 
< 0.1%
ValueCountFrequency (%)
16.081631751
< 0.1%
15.005789411
< 0.1%
14.924406021
< 0.1%
14.79426021
< 0.1%
14.724163661
< 0.1%
Distinct13856
Distinct (%)98.5%
Missing86
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean9.588861968
Minimum0
Maximum17.0812785
Zeros74
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:27.460787image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.705691168
Q18.333489494
median9.933519931
Q311.31081685
95-th percentile13.45858217
Maximum17.0812785
Range17.0812785
Interquartile range (IQR)2.977327358

Descriptive statistics

Standard deviation2.694296341
Coefficient of variation (CV)0.2809818673
Kurtosis1.582764911
Mean9.588861968
Median Absolute Deviation (MAD)1.470144026
Skewness-0.871501287
Sum134848.1659
Variance7.259232774
MonotonicityNot monotonic
2022-04-06T14:52:27.541776image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.009999999776117
 
0.8%
074
 
0.5%
10.952148446
 
< 0.1%
9.0146484385
 
< 0.1%
11.327148444
 
< 0.1%
14.514648443
 
< 0.1%
8.2646484382
 
< 0.1%
10.077148442
 
< 0.1%
10.139648442
 
< 0.1%
9.7021484382
 
< 0.1%
Other values (13846)13846
97.9%
(Missing)86
 
0.6%
ValueCountFrequency (%)
074
0.5%
0.009999999776117
0.8%
0.021356541761
 
< 0.1%
0.045856797671
 
< 0.1%
0.090132490671
 
< 0.1%
ValueCountFrequency (%)
17.08127851
< 0.1%
16.877801191
< 0.1%
16.660398121
< 0.1%
16.519896431
< 0.1%
16.360361021
< 0.1%

primary_cleaner.output.concentrate_sol
Real number (ℝ≥0)

MISSING

Distinct13662
Distinct (%)98.6%
Missing286
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean10.11474484
Minimum0
Maximum22.28084524
Zeros74
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:27.635289image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.542348119
Q17.488139291
median9.726566363
Q313.05280742
95-th percentile17.12317905
Maximum22.28084524
Range22.28084524
Interquartile range (IQR)5.564668128

Descriptive statistics

Standard deviation4.064076145
Coefficient of variation (CV)0.4017971989
Kurtosis-0.226261692
Mean10.11474484
Median Absolute Deviation (MAD)2.705874367
Skewness0.05537533351
Sum140220.7078
Variance16.51671491
MonotonicityNot monotonic
2022-04-06T14:52:27.720063image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.009999999776117
 
0.8%
074
 
0.5%
10.389648445
 
< 0.1%
10.577148445
 
< 0.1%
11.389648443
 
< 0.1%
18.43658842
 
< 0.1%
7.1635742192
 
< 0.1%
6.6051932411
 
< 0.1%
7.7211120021
 
< 0.1%
7.9932323151
 
< 0.1%
Other values (13652)13652
96.5%
(Missing)286
 
2.0%
ValueCountFrequency (%)
074
0.5%
0.009999999776117
0.8%
0.016416088131
 
< 0.1%
0.062799646831
 
< 0.1%
0.067671136161
 
< 0.1%
ValueCountFrequency (%)
22.280845241
< 0.1%
21.81032961
< 0.1%
21.425381321
< 0.1%
21.279296881
< 0.1%
21.119026411
< 0.1%
Distinct13950
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.38683598
Minimum0
Maximum45.93393406
Zeros74
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:27.805528image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24.9676687
Q130.85776391
median33.22583489
Q335.33014501
95-th percentile38.573869
Maximum45.93393406
Range45.93393406
Interquartile range (IQR)4.472381102

Descriptive statistics

Standard deviation5.798843478
Coefficient of variation (CV)0.1790493978
Kurtosis14.18852926
Mean32.38683598
Median Absolute Deviation (MAD)2.231193292
Skewness-3.144029024
Sum458241.3423
Variance33.62658568
MonotonicityNot monotonic
2022-04-06T14:52:27.890918image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.009999999776117
 
0.8%
074
 
0.5%
36.306430825
 
< 0.1%
27.765462885
 
< 0.1%
31.84748653
 
< 0.1%
32.440426291
 
< 0.1%
33.463724191
 
< 0.1%
32.767851031
 
< 0.1%
10.500525021
 
< 0.1%
29.089684861
 
< 0.1%
Other values (13940)13940
98.5%
ValueCountFrequency (%)
074
0.5%
0.009999999776117
0.8%
0.056590252241
 
< 0.1%
0.13591944431
 
< 0.1%
0.43987622641
 
< 0.1%
ValueCountFrequency (%)
45.933934061
< 0.1%
44.959280711
< 0.1%
44.626326381
< 0.1%
44.321981041
< 0.1%
44.280052041
< 0.1%

primary_cleaner.output.tail_ag
Real number (ℝ≥0)

Distinct14063
Distinct (%)99.4%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean16.30392933
Minimum0
Maximum29.45957463
Zeros68
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:27.978158image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.63534806
Q113.87314729
median15.80060434
Q318.45010876
95-th percentile22.95507177
Maximum29.45957463
Range29.45957463
Interquartile range (IQR)4.576961465

Descriptive statistics

Standard deviation3.739843407
Coefficient of variation (CV)0.2293829501
Kurtosis1.987574296
Mean16.30392933
Median Absolute Deviation (MAD)2.17213536
Skewness0.08750268252
Sum230667.9921
Variance13.98642871
MonotonicityNot monotonic
2022-04-06T14:52:28.062378image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
068
 
0.5%
7.77731895411
 
0.1%
18.671520235
 
< 0.1%
22.146211623
 
< 0.1%
15.297998432
 
< 0.1%
14.701225282
 
< 0.1%
14.93652631
 
< 0.1%
14.120852481
 
< 0.1%
14.501487181
 
< 0.1%
14.330178021
 
< 0.1%
Other values (14053)14053
99.3%
ValueCountFrequency (%)
068
0.5%
0.23581916591
 
< 0.1%
0.43725937391
 
< 0.1%
0.47567885141
 
< 0.1%
0.55227364971
 
< 0.1%
ValueCountFrequency (%)
29.459574631
< 0.1%
29.259148971
< 0.1%
29.158657731
< 0.1%
29.087316021
< 0.1%
29.079892971
< 0.1%

primary_cleaner.output.tail_pb
Real number (ℝ≥0)

Distinct14049
Distinct (%)99.4%
Missing15
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3.443397624
Minimum0
Maximum9.634564653
Zeros68
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:28.153992image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.372056275
Q12.420258886
median3.2183743
Q34.253217952
95-th percentile6.336850093
Maximum9.634564653
Range9.634564653
Interquartile range (IQR)1.832959065

Descriptive statistics

Standard deviation1.490106438
Coefficient of variation (CV)0.432743064
Kurtosis0.6396938298
Mean3.443397624
Median Absolute Deviation (MAD)0.8911134585
Skewness0.7320910055
Sum48668.98202
Variance2.220417198
MonotonicityNot monotonic
2022-04-06T14:52:28.237724image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
068
 
0.5%
0.887634277311
 
0.1%
4.2573242195
 
< 0.1%
6.5385742193
 
< 0.1%
3.7224121092
 
< 0.1%
2.9255371092
 
< 0.1%
2.9444778251
 
< 0.1%
2.7746215421
 
< 0.1%
2.8333430661
 
< 0.1%
3.0546110171
 
< 0.1%
Other values (14039)14039
99.2%
(Missing)15
 
0.1%
ValueCountFrequency (%)
068
0.5%
0.049552453091
 
< 0.1%
0.084681154451
 
< 0.1%
0.090517943141
 
< 0.1%
0.093132574681
 
< 0.1%
ValueCountFrequency (%)
9.6345646531
< 0.1%
9.4623206461
< 0.1%
9.1851138431
< 0.1%
9.1825677811
< 0.1%
9.1709819941
< 0.1%

primary_cleaner.output.tail_sol
Real number (ℝ≥0)

Distinct14018
Distinct (%)99.4%
Missing46
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean7.533565787
Minimum0
Maximum20.62083301
Zeros68
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:28.322671image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.734667704
Q16.33254756
median7.714418901
Q38.910663582
95-th percentile10.71110153
Maximum20.62083301
Range20.62083301
Interquartile range (IQR)2.578116022

Descriptive statistics

Standard deviation2.133219917
Coefficient of variation (CV)0.283162048
Kurtosis0.9226199172
Mean7.533565787
Median Absolute Deviation (MAD)1.274205596
Skewness-0.4744180275
Sum106245.8783
Variance4.550627214
MonotonicityNot monotonic
2022-04-06T14:52:28.404483image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
068
 
0.5%
11.5146484411
 
0.1%
5.7260742195
 
< 0.1%
4.6323242193
 
< 0.1%
8.7646484382
 
< 0.1%
4.9135742192
 
< 0.1%
7.4760742191
 
< 0.1%
7.3703785111
 
< 0.1%
7.0285944251
 
< 0.1%
7.2281403071
 
< 0.1%
Other values (14008)14008
99.0%
(Missing)46
 
0.3%
ValueCountFrequency (%)
068
0.5%
0.074203142921
 
< 0.1%
0.12630970211
 
< 0.1%
0.17947037481
 
< 0.1%
0.2236886551
 
< 0.1%
ValueCountFrequency (%)
20.620833011
< 0.1%
18.4052061
< 0.1%
16.827988721
< 0.1%
16.270192981
< 0.1%
16.193856161
< 0.1%

primary_cleaner.output.tail_au
Real number (ℝ≥0)

Distinct14064
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.839636723
Minimum0
Maximum17.78892473
Zeros68
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:28.494105image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.044085919
Q12.867956706
median3.510336916
Q34.49246958
95-th percentile6.660293985
Maximum17.78892473
Range17.78892473
Interquartile range (IQR)1.624512875

Descriptive statistics

Standard deviation1.603543649
Coefficient of variation (CV)0.4176290009
Kurtosis8.297321413
Mean3.839636723
Median Absolute Deviation (MAD)0.7667955775
Skewness1.968237888
Sum54327.02
Variance2.571352233
MonotonicityNot monotonic
2022-04-06T14:52:28.581984image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
068
 
0.5%
6.36741781211
 
0.1%
2.5007400515
 
< 0.1%
2.6151154043
 
< 0.1%
6.1516194342
 
< 0.1%
3.291830542
 
< 0.1%
2.106679441
 
< 0.1%
4.2689012031
 
< 0.1%
3.1188155131
 
< 0.1%
3.0007826231
 
< 0.1%
Other values (14054)14054
99.3%
ValueCountFrequency (%)
068
0.5%
0.045269260571
 
< 0.1%
0.052055312211
 
< 0.1%
0.056645799521
 
< 0.1%
0.12746316691
 
< 0.1%
ValueCountFrequency (%)
17.788924731
< 0.1%
17.281571641
< 0.1%
16.637763311
< 0.1%
16.56324581
< 0.1%
16.534402561
< 0.1%
Distinct14145
Distinct (%)100.0%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1608.000064
Minimum0.006352154605
Maximum2079.53134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:28.669710image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.006352154605
5-th percentile1353.386034
Q11595.695815
median1601.82441
Q31699.716408
95-th percentile1790.018891
Maximum2079.53134
Range2079.524988
Interquartile range (IQR)104.0205928

Descriptive statistics

Standard deviation128.3943546
Coefficient of variation (CV)0.07984723226
Kurtosis7.353801563
Mean1608.000064
Median Absolute Deviation (MAD)96.73384528
Skewness-1.562975214
Sum22745160.91
Variance16485.1103
MonotonicityNot monotonic
2022-04-06T14:52:28.747575image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1549.7757571
 
< 0.1%
1450.5087941
 
< 0.1%
1349.1126871
 
< 0.1%
1349.3065761
 
< 0.1%
1349.4393941
 
< 0.1%
1349.5722111
 
< 0.1%
1349.7050291
 
< 0.1%
1349.8378461
 
< 0.1%
1349.9706641
 
< 0.1%
1350.1034811
 
< 0.1%
Other values (14135)14135
99.9%
(Missing)4
 
< 0.1%
ValueCountFrequency (%)
0.0063521546051
< 0.1%
0.016993100871
< 0.1%
304.78818691
< 0.1%
314.24116531
< 0.1%
353.13037091
< 0.1%
ValueCountFrequency (%)
2079.531341
< 0.1%
2077.5130911
< 0.1%
2074.2961831
< 0.1%
2073.0379171
< 0.1%
2072.4250571
< 0.1%
Distinct14148
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-488.7755249
Minimum-798.6416616
Maximum-330.1342027
Zeros0
Zeros (%)0.0%
Negative14148
Negative (%)> 99.9%
Memory size110.7 KiB
2022-04-06T14:52:28.825881image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-798.6416616
5-th percentile-501.2347366
Q1-500.2879521
median-499.9093755
Q3-499.3785514
95-th percentile-399.7692592
Maximum-330.1342027
Range468.5074589
Interquartile range (IQR)0.9094006968

Descriptive statistics

Standard deviation35.70418418
Coefficient of variation (CV)-0.0730482243
Kurtosis8.132528483
Mean-488.7755249
Median Absolute Deviation (MAD)0.4442526054
Skewness2.107044707
Sum-6915196.127
Variance1274.788768
MonotonicityNot monotonic
2022-04-06T14:52:28.907838image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-498.91213991
 
< 0.1%
-500.31524331
 
< 0.1%
-500.27349681
 
< 0.1%
-499.77550991
 
< 0.1%
-499.85454061
 
< 0.1%
-499.90683431
 
< 0.1%
-499.72647481
 
< 0.1%
-500.2498711
 
< 0.1%
-499.368661
 
< 0.1%
-499.52169411
 
< 0.1%
Other values (14138)14138
99.9%
ValueCountFrequency (%)
-798.64166161
< 0.1%
-798.57711111
< 0.1%
-798.51256071
< 0.1%
-797.72750361
< 0.1%
-794.98158941
< 0.1%
ValueCountFrequency (%)
-330.13420271
< 0.1%
-347.04056271
< 0.1%
-347.07452651
< 0.1%
-347.20833721
< 0.1%
-347.47109621
< 0.1%
Distinct14145
Distinct (%)100.0%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1608.610983
Minimum0.008700415845
Maximum2114.906758
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:28.991034image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.008700415845
5-th percentile1352.409209
Q11558.959943
median1601.818514
Q31700.215351
95-th percentile1783.99145
Maximum2114.906758
Range2114.898058
Interquartile range (IQR)141.2554081

Descriptive statistics

Standard deviation131.1127286
Coefficient of variation (CV)0.08150679689
Kurtosis6.535271017
Mean1608.610983
Median Absolute Deviation (MAD)97.60435664
Skewness-1.522519375
Sum22753802.35
Variance17190.54761
MonotonicityNot monotonic
2022-04-06T14:52:29.071540image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1551.4342041
 
< 0.1%
1453.366021
 
< 0.1%
1350.9234451
 
< 0.1%
1352.2400471
 
< 0.1%
1353.556651
 
< 0.1%
1354.8732521
 
< 0.1%
1355.8024111
 
< 0.1%
1354.4208981
 
< 0.1%
1353.0174271
 
< 0.1%
1354.0656231
 
< 0.1%
Other values (14135)14135
99.9%
(Missing)4
 
< 0.1%
ValueCountFrequency (%)
0.0087004158451
< 0.1%
0.023275101641
< 0.1%
306.00511011
< 0.1%
319.95948951
< 0.1%
354.64847111
< 0.1%
ValueCountFrequency (%)
2114.9067581
< 0.1%
1900.8259381
< 0.1%
1900.0070381
< 0.1%
1846.4468931
< 0.1%
1825.4912631
< 0.1%
Distinct14148
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-489.1717856
Minimum-740.122129
Maximum-347.3543798
Zeros0
Zeros (%)0.0%
Negative14148
Negative (%)> 99.9%
Memory size110.7 KiB
2022-04-06T14:52:29.152688image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-740.122129
5-th percentile-501.3863379
Q1-500.3756454
median-499.938003
Q3-499.3896577
95-th percentile-399.9076824
Maximum-347.3543798
Range392.7677493
Interquartile range (IQR)0.9859876499

Descriptive statistics

Standard deviation33.60444885
Coefficient of variation (CV)-0.06869662118
Kurtosis5.854844796
Mean-489.1717856
Median Absolute Deviation (MAD)0.4818884538
Skewness2.436493753
Sum-6920802.423
Variance1129.258982
MonotonicityNot monotonic
2022-04-06T14:52:29.238054image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-516.40344241
 
< 0.1%
-499.92853291
 
< 0.1%
-500.42265861
 
< 0.1%
-499.66312521
 
< 0.1%
-499.52463241
 
< 0.1%
-500.16930251
 
< 0.1%
-500.52739821
 
< 0.1%
-500.82469761
 
< 0.1%
-499.65297691
 
< 0.1%
-499.87210191
 
< 0.1%
Other values (14138)14138
99.9%
ValueCountFrequency (%)
-740.1221291
< 0.1%
-628.59758931
< 0.1%
-613.70120481
< 0.1%
-612.74374281
< 0.1%
-608.29308361
< 0.1%
ValueCountFrequency (%)
-347.35437981
< 0.1%
-347.53530851
< 0.1%
-347.7980241
< 0.1%
-348.42817091
< 0.1%
-348.42821481
< 0.1%
Distinct14147
Distinct (%)100.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1608.879407
Minimum0.01515882116
Maximum2013.156457
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:29.330001image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.01515882116
5-th percentile1353.676543
Q11549.871886
median1601.574628
Q31700.464037
95-th percentile1798.128391
Maximum2013.156457
Range2013.141298
Interquartile range (IQR)150.592151

Descriptive statistics

Standard deviation134.2668984
Coefficient of variation (CV)0.08345367452
Kurtosis8.627374471
Mean1608.879407
Median Absolute Deviation (MAD)98.64716146
Skewness-1.651448654
Sum22760816.97
Variance18027.6
MonotonicityNot monotonic
2022-04-06T14:52:29.413097image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1549.8739011
 
< 0.1%
1454.8285951
 
< 0.1%
1347.823291
 
< 0.1%
1346.8884651
 
< 0.1%
1349.2324151
 
< 0.1%
1350.6037821
 
< 0.1%
1351.088751
 
< 0.1%
1351.5737181
 
< 0.1%
1352.0586871
 
< 0.1%
1352.5436551
 
< 0.1%
Other values (14137)14137
99.9%
(Missing)2
 
< 0.1%
ValueCountFrequency (%)
0.015158821161
< 0.1%
0.040552441341
< 0.1%
1.4210987161
< 0.1%
273.53682271
< 0.1%
292.64727151
< 0.1%
ValueCountFrequency (%)
2013.1564571
< 0.1%
1987.2394611
< 0.1%
1867.6342841
< 0.1%
1847.6219321
< 0.1%
1842.0408171
< 0.1%
Distinct14148
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-489.6055494
Minimum-799.8030728
Maximum-346.6534498
Zeros0
Zeros (%)0.0%
Negative14148
Negative (%)> 99.9%
Memory size110.7 KiB
2022-04-06T14:52:29.505847image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-799.8030728
5-th percentile-505.2424365
Q1-500.6017184
median-499.8713457
Q3-498.8017741
95-th percentile-399.9110587
Maximum-346.6534498
Range453.149623
Interquartile range (IQR)1.799944354

Descriptive statistics

Standard deviation35.62400212
Coefficient of variation (CV)-0.07276061753
Kurtosis9.846417019
Mean-489.6055494
Median Absolute Deviation (MAD)0.8577315067
Skewness1.345261612
Sum-6926939.313
Variance1269.069527
MonotonicityNot monotonic
2022-04-06T14:52:29.584256image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-498.66659551
 
< 0.1%
-500.58172041
 
< 0.1%
-500.67891311
 
< 0.1%
-499.9357281
 
< 0.1%
-499.71843891
 
< 0.1%
-499.75633521
 
< 0.1%
-500.47033681
 
< 0.1%
-500.04469011
 
< 0.1%
-500.60643271
 
< 0.1%
-499.70680921
 
< 0.1%
Other values (14138)14138
99.9%
ValueCountFrequency (%)
-799.80307281
< 0.1%
-799.7878151
< 0.1%
-799.71908861
< 0.1%
-799.68173491
< 0.1%
-799.5603971
< 0.1%
ValueCountFrequency (%)
-346.65344981
< 0.1%
-346.79221611
< 0.1%
-347.25769341
< 0.1%
-347.33376451
< 0.1%
-347.44709561
< 0.1%
Distinct14146
Distinct (%)100.0%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1542.189963
Minimum0.008654608784
Maximum2398.903635
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:29.662200image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.008654608784
5-th percentile914.5915922
Q11452.678767
median1600.168346
Q31699.358771
95-th percentile1751.102038
Maximum2398.903635
Range2398.894981
Interquartile range (IQR)246.6800034

Descriptive statistics

Standard deviation278.316132
Coefficient of variation (CV)0.1804681256
Kurtosis4.65461543
Mean1542.189963
Median Absolute Deviation (MAD)100.1018261
Skewness-1.179744534
Sum21815819.22
Variance77459.86936
MonotonicityNot monotonic
2022-04-06T14:52:29.744428image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1554.3674321
 
< 0.1%
1448.711411
 
< 0.1%
1358.3649411
 
< 0.1%
1355.7895831
 
< 0.1%
1353.4865821
 
< 0.1%
1350.2950091
 
< 0.1%
1348.9829741
 
< 0.1%
1351.8167691
 
< 0.1%
1350.8246861
 
< 0.1%
1351.4044751
 
< 0.1%
Other values (14136)14136
99.9%
(Missing)3
 
< 0.1%
ValueCountFrequency (%)
0.0086546087841
< 0.1%
0.023152559911
< 0.1%
131.32167191
< 0.1%
283.59961261
< 0.1%
352.9997741
< 0.1%
ValueCountFrequency (%)
2398.9036351
< 0.1%
2398.8913721
< 0.1%
2398.8883731
< 0.1%
2398.8826751
< 0.1%
2398.8796321
< 0.1%
Distinct14148
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-483.4624235
Minimum-799.7885975
Maximum-30.60182765
Zeros0
Zeros (%)0.0%
Negative14148
Negative (%)> 99.9%
Memory size110.7 KiB
2022-04-06T14:52:29.828586image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-799.7885975
5-th percentile-504.8287129
Q1-500.4599166
median-499.8318334
Q3-498.4803409
95-th percentile-398.399556
Maximum-30.60182765
Range769.1867699
Interquartile range (IQR)1.97957571

Descriptive statistics

Standard deviation47.10093384
Coefficient of variation (CV)-0.0974241876
Kurtosis10.97937738
Mean-483.4624235
Median Absolute Deviation (MAD)0.7833920443
Skewness2.312056034
Sum-6840026.367
Variance2218.497969
MonotonicityNot monotonic
2022-04-06T14:52:29.911304image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-493.42813111
 
< 0.1%
-500.88776931
 
< 0.1%
-505.51126821
 
< 0.1%
-500.24206921
 
< 0.1%
-487.56547631
 
< 0.1%
-488.15452491
 
< 0.1%
-514.17150591
 
< 0.1%
-501.68591681
 
< 0.1%
-492.24750371
 
< 0.1%
-505.36664861
 
< 0.1%
Other values (14138)14138
99.9%
ValueCountFrequency (%)
-799.78859751
< 0.1%
-799.77677051
< 0.1%
-799.76164061
< 0.1%
-799.76136931
< 0.1%
-799.76109791
< 0.1%
ValueCountFrequency (%)
-30.601827651
< 0.1%
-40.027176251
< 0.1%
-66.377169191
< 0.1%
-107.59509931
< 0.1%
-114.78048531
< 0.1%
Distinct14148
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean40382.64863
Minimum-42235197.37
Maximum3428098.939
Zeros0
Zeros (%)0.0%
Negative28
Negative (%)0.2%
Memory size110.7 KiB
2022-04-06T14:52:29.998327image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-42235197.37
5-th percentile34247.34775
Q139994.29616
median43684.30842
Q347760.40672
95-th percentile54858.06316
Maximum3428098.939
Range45663296.31
Interquartile range (IQR)7766.110562

Descriptive statistics

Standard deviation380143.6222
Coefficient of variation (CV)9.413538613
Kurtosis11010.89266
Mean40382.64863
Median Absolute Deviation (MAD)3751.40738
Skewness-102.0018519
Sum571333712.8
Variance1.445091735 × 1011
MonotonicityNot monotonic
2022-04-06T14:52:30.082152image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41885.707031
 
< 0.1%
41344.427331
 
< 0.1%
54449.470541
 
< 0.1%
55370.959781
 
< 0.1%
55913.639871
 
< 0.1%
55627.217661
 
< 0.1%
55785.383241
 
< 0.1%
52356.437721
 
< 0.1%
47268.395881
 
< 0.1%
46126.661161
 
< 0.1%
Other values (14138)14138
99.9%
ValueCountFrequency (%)
-42235197.371
< 0.1%
-15488584.031
< 0.1%
-720644.26271
< 0.1%
-398508.9671
< 0.1%
-38982.589831
< 0.1%
ValueCountFrequency (%)
3428098.9391
< 0.1%
1208360.6221
< 0.1%
782969.77241
< 0.1%
715402.4811
< 0.1%
258854.9921
< 0.1%
Distinct14148
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3456.608298
Minimum-486.5986753
Maximum629638.9779
Zeros0
Zeros (%)0.0%
Negative31
Negative (%)0.2%
Memory size110.7 KiB
2022-04-06T14:52:30.171214image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-486.5986753
5-th percentile2418.703413
Q12527.093354
median2975.892211
Q33716.360822
95-th percentile6127.116641
Maximum629638.9779
Range630125.5766
Interquartile range (IQR)1189.267468

Descriptive statistics

Standard deviation5772.510248
Coefficient of variation (CV)1.669992591
Kurtosis9970.15359
Mean3456.608298
Median Absolute Deviation (MAD)472.1275502
Skewness94.80878955
Sum48904094.2
Variance33321874.56
MonotonicityNot monotonic
2022-04-06T14:52:30.255729image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3481.7790531
 
< 0.1%
4540.1562471
 
< 0.1%
6160.2007041
 
< 0.1%
5746.7056771
 
< 0.1%
5695.0718981
 
< 0.1%
4888.1281991
 
< 0.1%
4285.8720141
 
< 0.1%
3858.5842021
 
< 0.1%
3580.0163351
 
< 0.1%
3720.0419121
 
< 0.1%
Other values (14138)14138
99.9%
ValueCountFrequency (%)
-486.59867531
< 0.1%
-186.07762221
< 0.1%
-148.00225061
< 0.1%
-33.065170241
< 0.1%
-32.336989411
< 0.1%
ValueCountFrequency (%)
629638.97791
< 0.1%
234425.85971
< 0.1%
20960.012241
< 0.1%
20450.367311
< 0.1%
19213.716051
< 0.1%
Distinct14148
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3253.356387
Minimum-264.982785
Maximum718684.9559
Zeros0
Zeros (%)0.0%
Negative23
Negative (%)0.2%
Memory size110.7 KiB
2022-04-06T14:52:30.342458image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-264.982785
5-th percentile2198.078596
Q12512.200873
median2899.807724
Q33596.534806
95-th percentile5360.907905
Maximum718684.9559
Range718949.9386
Interquartile range (IQR)1084.333933

Descriptive statistics

Standard deviation6753.290662
Coefficient of variation (CV)2.075791847
Kurtosis9329.023929
Mean3253.356387
Median Absolute Deviation (MAD)401.6585538
Skewness92.64821923
Sum46028486.16
Variance45606934.76
MonotonicityNot monotonic
2022-04-06T14:52:30.424236image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3520.3371581
 
< 0.1%
4540.0585131
 
< 0.1%
6160.3180691
 
< 0.1%
5746.7254451
 
< 0.1%
5695.1931891
 
< 0.1%
4888.4437361
 
< 0.1%
4285.6296491
 
< 0.1%
3858.493881
 
< 0.1%
3580.075561
 
< 0.1%
3719.9431221
 
< 0.1%
Other values (14138)14138
99.9%
ValueCountFrequency (%)
-264.9827851
< 0.1%
-97.904201771
< 0.1%
-94.426284881
< 0.1%
-21.317551321
< 0.1%
-4.1117316971
< 0.1%
ValueCountFrequency (%)
718684.95591
< 0.1%
337629.41771
< 0.1%
29105.606711
< 0.1%
20865.828791
< 0.1%
19812.087341
< 0.1%
Distinct14126
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.367314375
Minimum-0.01054761297
Maximum39.37927198
Zeros0
Zeros (%)0.0%
Negative100
Negative (%)0.7%
Memory size110.7 KiB
2022-04-06T14:52:30.513678image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.01054761297
5-th percentile1.469957181
Q11.999587569
median2.249275282
Q32.66089614
95-th percentile3.36692684
Maximum39.37927198
Range39.3898196
Interquartile range (IQR)0.6613085717

Descriptive statistics

Standard deviation0.8735512777
Coefficient of variation (CV)0.3690051845
Kurtosis337.3435646
Mean2.367314375
Median Absolute Deviation (MAD)0.3068363513
Skewness11.46471936
Sum33495.13109
Variance0.7630918347
MonotonicityNot monotonic
2022-04-06T14:52:30.604604image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.93268078810
 
0.1%
15
 
< 0.1%
2.0255835795
 
< 0.1%
1.6905849875
 
< 0.1%
1.1240567633
 
< 0.1%
2.8386867751
 
< 0.1%
2.3841946771
 
< 0.1%
1.3645091721
 
< 0.1%
1.4705651061
 
< 0.1%
1.5220675871
 
< 0.1%
Other values (14116)14116
99.8%
ValueCountFrequency (%)
-0.010547612971
< 0.1%
-0.0056862917911
< 0.1%
-0.0055522329861
< 0.1%
-0.0048681923781
< 0.1%
-0.0039149953321
< 0.1%
ValueCountFrequency (%)
39.379271981
< 0.1%
27.231373961
< 0.1%
20.470357051
< 0.1%
19.410394711
< 0.1%
17.664707861
< 0.1%

rougher.input.feed_ag
Real number (ℝ≥0)

Distinct14126
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.579195197
Minimum0.009999999776
Maximum14.59602596
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:30.692887image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.009999999776
5-th percentile6.107232413
Q17.132802134
median8.156091639
Q39.918304486
95-th percentile12.14356699
Maximum14.59602596
Range14.58602596
Interquartile range (IQR)2.785502352

Descriptive statistics

Standard deviation1.896284497
Coefficient of variation (CV)0.221032912
Kurtosis-0.1120815095
Mean8.579195197
Median Absolute Deviation (MAD)1.232383462
Skewness0.5114062791
Sum121387.0328
Variance3.595894894
MonotonicityNot monotonic
2022-04-06T14:52:30.776062image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.97395515410
 
0.1%
0.0099999997765
 
< 0.1%
8.3641233445
 
< 0.1%
7.0617275245
 
< 0.1%
6.7734060293
 
< 0.1%
6.1003780361
 
< 0.1%
7.4585485711
 
< 0.1%
6.4818861741
 
< 0.1%
6.3224668691
 
< 0.1%
6.10170141
 
< 0.1%
Other values (14116)14116
99.8%
ValueCountFrequency (%)
0.0099999997765
< 0.1%
1.0156763711
 
< 0.1%
1.1067579031
 
< 0.1%
1.1169297291
 
< 0.1%
1.2264942221
 
< 0.1%
ValueCountFrequency (%)
14.596025961
< 0.1%
14.533697591
< 0.1%
14.450686921
< 0.1%
14.405201171
< 0.1%
14.255444181
< 0.1%

rougher.input.feed_pb
Real number (ℝ≥0)

Distinct14020
Distinct (%)99.8%
Missing100
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean3.5227781
Minimum0.009999999776
Maximum7.142594103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:30.862850image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.009999999776
5-th percentile1.915932034
Q12.780009637
median3.422676684
Q34.226107054
95-th percentile5.460691226
Maximum7.142594103
Range7.132594104
Interquartile range (IQR)1.446097417

Descriptive statistics

Standard deviation1.073393774
Coefficient of variation (CV)0.3047009329
Kurtosis-0.02305814846
Mean3.5227781
Median Absolute Deviation (MAD)0.7086802574
Skewness0.2522117098
Sum49491.50953
Variance1.152174193
MonotonicityNot monotonic
2022-04-06T14:52:30.945622image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.90991210911
 
0.1%
5.0385742196
 
< 0.1%
0.0099999997765
 
< 0.1%
3.6599121095
 
< 0.1%
5.6948242194
 
< 0.1%
4.4135742192
 
< 0.1%
4.2885742192
 
< 0.1%
4.3510742192
 
< 0.1%
3.6939271851
 
< 0.1%
4.2395678191
 
< 0.1%
Other values (14010)14010
99.0%
(Missing)100
 
0.7%
ValueCountFrequency (%)
0.0099999997765
< 0.1%
0.088552105881
 
< 0.1%
0.12588949831
 
< 0.1%
0.12872738811
 
< 0.1%
0.15768603561
 
< 0.1%
ValueCountFrequency (%)
7.1425941031
< 0.1%
7.052324911
< 0.1%
6.9119473451
< 0.1%
6.844690921
< 0.1%
6.8336101481
< 0.1%

rougher.input.feed_rate
Real number (ℝ≥0)

Distinct14141
Distinct (%)100.0%
Missing8
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean474.0277142
Minimum0.01278569914
Maximum717.5088371
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:31.032206image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.01278569914
5-th percentile283.7917816
Q1420.7819128
median499.4547766
Q3547.3349725
95-th percentile600.5958529
Maximum717.5088371
Range717.4960514
Interquartile range (IQR)126.5530597

Descriptive statistics

Standard deviation104.0398379
Coefficient of variation (CV)0.2194804961
Kurtosis2.298911706
Mean474.0277142
Median Absolute Deviation (MAD)54.79486788
Skewness-1.298230048
Sum6703225.906
Variance10824.28787
MonotonicityNot monotonic
2022-04-06T14:52:31.114200image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
523.54632571
 
< 0.1%
522.27072731
 
< 0.1%
492.18365671
 
< 0.1%
536.25174621
 
< 0.1%
533.53102781
 
< 0.1%
503.44586421
 
< 0.1%
485.17154591
 
< 0.1%
485.72966861
 
< 0.1%
511.44343541
 
< 0.1%
473.16568841
 
< 0.1%
Other values (14131)14131
99.9%
(Missing)8
 
0.1%
ValueCountFrequency (%)
0.012785699141
< 0.1%
0.022802467991
< 0.1%
0.02339282221
< 0.1%
0.023787733011
< 0.1%
0.029544987291
< 0.1%
ValueCountFrequency (%)
717.50883711
< 0.1%
674.54334351
< 0.1%
672.48187891
< 0.1%
669.02866121
< 0.1%
660.96013151
< 0.1%

rougher.input.feed_size
Real number (ℝ≥0)

MISSING

Distinct13997
Distinct (%)99.9%
Missing144
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean60.11051805
Minimum9.659576315
Maximum484.9674665
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:31.200759image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum9.659576315
5-th percentile42.44164721
Q148.97302743
median55.37388508
Q366.08017222
95-th percentile85.00857745
Maximum484.9674665
Range475.3078902
Interquartile range (IQR)17.10714479

Descriptive statistics

Standard deviation22.41848514
Coefficient of variation (CV)0.372954449
Kurtosis80.69763725
Mean60.11051805
Median Absolute Deviation (MAD)7.770522112
Skewness6.966765196
Sum841847.8053
Variance502.588476
MonotonicityNot monotonic
2022-04-06T14:52:31.282616image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72.919883736
 
< 0.1%
51.811889654
 
< 0.1%
55.486598971
 
< 0.1%
53.328859021
 
< 0.1%
51.491288011
 
< 0.1%
52.151672791
 
< 0.1%
51.519589331
 
< 0.1%
52.908201561
 
< 0.1%
52.954838171
 
< 0.1%
52.156081041
 
< 0.1%
Other values (13987)13987
98.9%
(Missing)144
 
1.0%
ValueCountFrequency (%)
9.6595763151
< 0.1%
12.191553851
< 0.1%
14.249245551
< 0.1%
14.389223571
< 0.1%
14.885601671
< 0.1%
ValueCountFrequency (%)
484.96746651
< 0.1%
449.82540211
< 0.1%
416.34636591
< 0.1%
404.85154291
< 0.1%
386.13571691
< 0.1%

rougher.input.feed_sol
Real number (ℝ≥0)

Distinct14043
Distinct (%)99.8%
Missing78
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean36.31259273
Minimum0.009999999776
Maximum48.36317715
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:31.363265image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.009999999776
5-th percentile27.90462733
Q134.11763453
median37.0203446
Q339.42326546
95-th percentile42.88706645
Maximum48.36317715
Range48.35317715
Interquartile range (IQR)5.305630925

Descriptive statistics

Standard deviation4.956057451
Coefficient of variation (CV)0.1364831613
Kurtosis5.314326988
Mean36.31259273
Median Absolute Deviation (MAD)2.634000365
Skewness-1.540778228
Sum510954.4922
Variance24.56250545
MonotonicityNot monotonic
2022-04-06T14:52:31.449197image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.808593757
 
< 0.1%
40.058593756
 
< 0.1%
38.058593756
 
< 0.1%
0.0099999997765
 
< 0.1%
39.808593753
 
< 0.1%
39.058593752
 
< 0.1%
40.808593752
 
< 0.1%
37.808593752
 
< 0.1%
38.558593752
 
< 0.1%
35.558593752
 
< 0.1%
Other values (14033)14034
99.2%
(Missing)78
 
0.6%
ValueCountFrequency (%)
0.0099999997765
< 0.1%
0.46386659981
 
< 0.1%
3.1359269361
 
< 0.1%
4.5922457761
 
< 0.1%
4.9703285711
 
< 0.1%
ValueCountFrequency (%)
48.363177151
< 0.1%
48.306232371
< 0.1%
48.195295481
< 0.1%
48.123802081
< 0.1%
47.678558261
< 0.1%

rougher.input.feed_au
Real number (ℝ≥0)

Distinct14126
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.866576842
Minimum0.009999999776
Maximum13.12604267
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:31.533736image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.009999999776
5-th percentile5.07544652
Q16.596217353
median7.649137813
Q39.066975545
95-th percentile11.39814719
Maximum13.12604267
Range13.11604267
Interquartile range (IQR)2.470758192

Descriptive statistics

Standard deviation1.919506089
Coefficient of variation (CV)0.2440077975
Kurtosis0.2372085476
Mean7.866576842
Median Absolute Deviation (MAD)1.185245276
Skewness0.1101999252
Sum111304.1957
Variance3.684503627
MonotonicityNot monotonic
2022-04-06T14:52:31.619485image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.55661201510
 
0.1%
0.0099999997765
 
< 0.1%
7.413457875
 
< 0.1%
8.5181379325
 
< 0.1%
6.4013056763
 
< 0.1%
6.4861497881
 
< 0.1%
8.5823274961
 
< 0.1%
6.2632118721
 
< 0.1%
6.1416617851
 
< 0.1%
5.6704567561
 
< 0.1%
Other values (14116)14116
99.8%
ValueCountFrequency (%)
0.0099999997765
< 0.1%
0.58815248721
 
< 0.1%
0.6259684011
 
< 0.1%
0.7140357111
 
< 0.1%
0.74819764871
 
< 0.1%
ValueCountFrequency (%)
13.126042671
< 0.1%
13.079581651
< 0.1%
13.07683561
< 0.1%
12.966632151
< 0.1%
12.875059191
< 0.1%
Distinct14120
Distinct (%)100.0%
Missing29
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean11.76493092
Minimum0.001083112337
Maximum36.11827474
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:31.702501image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.001083112337
5-th percentile6.831411471
Q19.861100297
median11.68870194
Q313.60711541
95-th percentile16.99991314
Maximum36.11827474
Range36.11719163
Interquartile range (IQR)3.746015117

Descriptive statistics

Standard deviation3.278813012
Coefficient of variation (CV)0.2786937751
Kurtosis3.108630824
Mean11.76493092
Median Absolute Deviation (MAD)1.852505679
Skewness0.6837149991
Sum166120.8246
Variance10.75061477
MonotonicityNot monotonic
2022-04-06T14:52:31.785610image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.986616131
 
< 0.1%
17.000202681
 
< 0.1%
17.001807091
 
< 0.1%
16.998072121
 
< 0.1%
17.001833911
 
< 0.1%
17.001132321
 
< 0.1%
17.001308211
 
< 0.1%
16.999186031
 
< 0.1%
17.000703151
 
< 0.1%
16.997527481
 
< 0.1%
Other values (14110)14110
99.7%
(Missing)29
 
0.2%
ValueCountFrequency (%)
0.0010831123371
< 0.1%
0.0011640399741
< 0.1%
0.0016131298411
< 0.1%
0.0030790908961
< 0.1%
0.0040730390281
< 0.1%
ValueCountFrequency (%)
36.118274741
< 0.1%
31.393044691
< 0.1%
30.830566941
< 0.1%
30.631803211
< 0.1%
30.272361861
< 0.1%
Distinct14141
Distinct (%)100.0%
Missing8
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean5.854528922
Minimum0.001427684676
Maximum9.703448041
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:31.875099image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.001427684676
5-th percentile4.204155744
Q15.117359338
median5.951071495
Q36.602533124
95-th percentile7.597520274
Maximum9.703448041
Range9.702020356
Interquartile range (IQR)1.485173786

Descriptive statistics

Standard deviation1.104263411
Coefficient of variation (CV)0.1886169539
Kurtosis2.028344091
Mean5.854528922
Median Absolute Deviation (MAD)0.7511328273
Skewness-0.5582327104
Sum82788.89348
Variance1.219397682
MonotonicityNot monotonic
2022-04-06T14:52:31.960033image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.0079898831
 
< 0.1%
6.3424228041
 
< 0.1%
5.9986773491
 
< 0.1%
5.9987476821
 
< 0.1%
6.0005702971
 
< 0.1%
6.0637719071
 
< 0.1%
6.2979200291
 
< 0.1%
6.4581105341
 
< 0.1%
6.4973963281
 
< 0.1%
6.4055198631
 
< 0.1%
Other values (14131)14131
99.9%
(Missing)8
 
0.1%
ValueCountFrequency (%)
0.0014276846761
< 0.1%
0.0021499656791
< 0.1%
0.0026554541
< 0.1%
0.0039095190691
< 0.1%
0.0042716606211
< 0.1%
ValueCountFrequency (%)
9.7034480411
< 0.1%
9.6746214051
< 0.1%
9.6552465451
< 0.1%
9.5174972031
< 0.1%
9.4917147711
< 0.1%
Distinct14113
Distinct (%)100.0%
Missing36
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean11.36868516
Minimum9.787336239 × 10-5
Maximum37.98064788
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:32.043255image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum9.787336239 × 10-5
5-th percentile5.384909335
Q19.505507412
median11.38428322
Q313.49713422
95-th percentile16.99941417
Maximum37.98064788
Range37.98055001
Interquartile range (IQR)3.991626812

Descriptive statistics

Standard deviation3.743672014
Coefficient of variation (CV)0.3292968327
Kurtosis2.689688628
Mean11.36868516
Median Absolute Deviation (MAD)1.895553724
Skewness-0.2451217707
Sum160446.2536
Variance14.01508015
MonotonicityNot monotonic
2022-04-06T14:52:32.125954image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.836743351
 
< 0.1%
17.000291151
 
< 0.1%
17.001771121
 
< 0.1%
17.000002351
 
< 0.1%
16.999189711
 
< 0.1%
17.001121561
 
< 0.1%
16.9980351
 
< 0.1%
17.00232931
 
< 0.1%
16.998246871
 
< 0.1%
17.000549791
 
< 0.1%
Other values (14103)14103
99.7%
(Missing)36
 
0.3%
ValueCountFrequency (%)
9.787336239 × 10-51
< 0.1%
0.00016276630281
< 0.1%
0.00052874761941
< 0.1%
0.0007256641311
< 0.1%
0.00093176805951
< 0.1%
ValueCountFrequency (%)
37.980647881
< 0.1%
32.780761541
< 0.1%
31.84937511
< 0.1%
30.011665751
< 0.1%
30.007997071
< 0.1%

rougher.input.floatbank11_xanthate
Real number (ℝ≥0)

MISSING

Distinct13706
Distinct (%)99.9%
Missing428
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean5.894175625
Minimum0.0002904125738
Maximum9.698406868
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:32.213244image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.0002904125738
5-th percentile4.246353462
Q15.199168459
median5.998460115
Q36.699005989
95-th percentile7.599621478
Maximum9.698406868
Range9.698116455
Interquartile range (IQR)1.49983753

Descriptive statistics

Standard deviation1.124232768
Coefficient of variation (CV)0.1907362182
Kurtosis2.294160098
Mean5.894175625
Median Absolute Deviation (MAD)0.7965447064
Skewness-0.6406226339
Sum80873.98375
Variance1.263899318
MonotonicityNot monotonic
2022-04-06T14:52:32.296273image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
516
 
0.1%
6.0058183671
 
< 0.1%
6.1996537821
 
< 0.1%
5.3973382961
 
< 0.1%
5.3719167091
 
< 0.1%
5.0938207561
 
< 0.1%
4.9978480381
 
< 0.1%
5.5009738861
 
< 0.1%
6.1953229941
 
< 0.1%
6.1993400531
 
< 0.1%
Other values (13696)13696
96.8%
(Missing)428
 
3.0%
ValueCountFrequency (%)
0.00029041257381
< 0.1%
0.00040635368391
< 0.1%
0.00057844959181
< 0.1%
0.00081821377591
< 0.1%
0.00095325556471
< 0.1%
ValueCountFrequency (%)
9.6984068681
< 0.1%
9.6686778491
< 0.1%
9.6672793721
< 0.1%
9.5147892941
< 0.1%
9.4962750591
< 0.1%

rougher.output.concentrate_ag
Real number (ℝ≥0)

ZEROS

Distinct13829
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.77581231
Minimum0
Maximum24.48027095
Zeros297
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:32.377492image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.579951282
Q110.48687087
median11.74736191
Q313.42641902
95-th percentile15.55643383
Maximum24.48027095
Range24.48027095
Interquartile range (IQR)2.939548149

Descriptive statistics

Standard deviation2.731746888
Coefficient of variation (CV)0.231979486
Kurtosis5.851606396
Mean11.77581231
Median Absolute Deviation (MAD)1.434186802
Skewness-1.482298136
Sum166615.9684
Variance7.462441062
MonotonicityNot monotonic
2022-04-06T14:52:32.462467image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0297
 
2.1%
7.45875310911
 
0.1%
9.975555426
 
< 0.1%
0.0099999997765
 
< 0.1%
12.098114974
 
< 0.1%
11.379909523
 
< 0.1%
9.0569433961
 
< 0.1%
8.7884739571
 
< 0.1%
8.6255890931
 
< 0.1%
8.6837235651
 
< 0.1%
Other values (13819)13819
97.7%
ValueCountFrequency (%)
0297
2.1%
0.0099999997765
 
< 0.1%
0.35187419941
 
< 0.1%
0.90599348131
 
< 0.1%
1.1801619791
 
< 0.1%
ValueCountFrequency (%)
24.480270951
< 0.1%
21.725695141
< 0.1%
21.526208711
< 0.1%
21.393959691
< 0.1%
21.11077741
< 0.1%

rougher.output.concentrate_pb
Real number (ℝ≥0)

ZEROS

Distinct13803
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.664554751
Minimum0
Maximum13.61707192
Zeros297
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:32.545114image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.199404356
Q16.850500937
median7.760435394
Q38.601926732
95-th percentile10.55523818
Maximum13.61707192
Range13.61707192
Interquartile range (IQR)1.751425795

Descriptive statistics

Standard deviation1.856278537
Coefficient of variation (CV)0.2421900028
Kurtosis4.922376935
Mean7.664554751
Median Absolute Deviation (MAD)0.8746826971
Skewness-1.250429454
Sum108445.7852
Variance3.445770006
MonotonicityNot monotonic
2022-04-06T14:52:32.632805image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0297
 
2.1%
13.0771484411
 
0.1%
10.452148447
 
< 0.1%
7.9448242196
 
< 0.1%
8.2646484385
 
< 0.1%
0.0099999997765
 
< 0.1%
8.4521484385
 
< 0.1%
8.1396484384
 
< 0.1%
11.952148443
 
< 0.1%
9.1396484383
 
< 0.1%
Other values (13793)13803
97.6%
ValueCountFrequency (%)
0297
2.1%
0.0099999997765
 
< 0.1%
0.21436015161
 
< 0.1%
0.62996394871
 
< 0.1%
0.77218383011
 
< 0.1%
ValueCountFrequency (%)
13.617071921
 
< 0.1%
13.091679381
 
< 0.1%
13.0771484411
0.1%
12.966873711
 
< 0.1%
12.797765341
 
< 0.1%

rougher.output.concentrate_sol
Real number (ℝ≥0)

ZEROS

Distinct13615
Distinct (%)96.4%
Missing22
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean28.30271516
Minimum0
Maximum38.35119285
Zeros297
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:32.719833image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.5677757
Q126.70355356
median29.25754545
Q331.74391304
95-th percentile35.08283696
Maximum38.35119285
Range38.35119285
Interquartile range (IQR)5.040359475

Descriptive statistics

Standard deviation6.10298223
Coefficient of variation (CV)0.2156323941
Kurtosis8.63243805
Mean28.30271516
Median Absolute Deviation (MAD)2.516411359
Skewness-2.479397009
Sum399832.457
Variance37.2463921
MonotonicityNot monotonic
2022-04-06T14:52:33.924609image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0297
 
2.1%
34.5585937519
 
0.1%
35.0585937517
 
0.1%
35.3085937516
 
0.1%
33.3085937516
 
0.1%
34.0585937514
 
0.1%
33.8085937514
 
0.1%
33.5585937514
 
0.1%
34.8085937513
 
0.1%
6.78857421911
 
0.1%
Other values (13605)13696
96.8%
(Missing)22
 
0.2%
ValueCountFrequency (%)
0297
2.1%
0.0099999997765
 
< 0.1%
0.87959341491
 
< 0.1%
1.7159061481
 
< 0.1%
2.1520513141
 
< 0.1%
ValueCountFrequency (%)
38.351192851
< 0.1%
38.239608021
< 0.1%
38.212427191
< 0.1%
38.195170541
< 0.1%
38.16619751
< 0.1%

rougher.output.concentrate_au
Real number (ℝ≥0)

ZEROS

Distinct13829
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.43995785
Minimum0
Maximum28.14683761
Zeros297
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:34.011044image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.03744938
Q118.43216144
median19.94731247
Q321.39271366
95-th percentile23.36772336
Maximum28.14683761
Range28.14683761
Interquartile range (IQR)2.960552221

Descriptive statistics

Standard deviation3.765192291
Coefficient of variation (CV)0.193683151
Kurtosis13.30311651
Mean19.43995785
Median Absolute Deviation (MAD)1.47520312
Skewness-3.067244073
Sum275055.9636
Variance14.17667299
MonotonicityNot monotonic
2022-04-06T14:52:34.087801image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0297
 
2.1%
13.7913684811
 
0.1%
20.341888436
 
< 0.1%
0.0099999997765
 
< 0.1%
17.099216464
 
< 0.1%
17.525726323
 
< 0.1%
18.820303071
 
< 0.1%
19.551161511
 
< 0.1%
19.5356791
 
< 0.1%
19.533887641
 
< 0.1%
Other values (13819)13819
97.7%
ValueCountFrequency (%)
0297
2.1%
0.0099999997765
 
< 0.1%
0.57081875921
 
< 0.1%
1.8898551911
 
< 0.1%
1.9125816911
 
< 0.1%
ValueCountFrequency (%)
28.146837611
< 0.1%
28.039637031
< 0.1%
27.891774841
< 0.1%
27.690006471
< 0.1%
27.649004791
< 0.1%

rougher.output.recovery
Real number (ℝ≥0)

ZEROS

Distinct13831
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.70450165
Minimum0
Maximum100
Zeros297
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:34.171118image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile67.18948807
Q179.99306728
median85.2994621
Q390.16502083
95-th percentile94.62265652
Maximum100
Range100
Interquartile range (IQR)10.17195355

Descriptive statistics

Standard deviation14.4791558
Coefficient of variation (CV)0.1750709516
Kurtosis20.03947791
Mean82.70450165
Median Absolute Deviation (MAD)5.066982837
Skewness-4.041521899
Sum1170185.994
Variance209.6459527
MonotonicityNot monotonic
2022-04-06T14:52:34.255467image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0297
 
2.1%
83.4069244410
 
0.1%
1005
 
< 0.1%
91.792293425
 
< 0.1%
91.636689924
 
< 0.1%
85.533757533
 
< 0.1%
85.784471551
 
< 0.1%
83.51084051
 
< 0.1%
82.774759541
 
< 0.1%
79.757065251
 
< 0.1%
Other values (13821)13821
97.7%
ValueCountFrequency (%)
0297
2.1%
2.5208538031
 
< 0.1%
9.826876081
 
< 0.1%
22.165416331
 
< 0.1%
22.170428571
 
< 0.1%
ValueCountFrequency (%)
1005
< 0.1%
99.979040621
 
< 0.1%
99.847663021
 
< 0.1%
99.772957781
 
< 0.1%
99.617780771
 
< 0.1%

rougher.output.tail_ag
Real number (ℝ≥0)

Distinct14114
Distinct (%)99.8%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean5.567123846
Minimum0.5945622921
Maximum12.71917683
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:34.343787image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.5945622921
5-th percentile3.610323793
Q14.921647498
median5.722018337
Q36.310632917
95-th percentile7.010225027
Maximum12.71917683
Range12.12461454
Interquartile range (IQR)1.388985419

Descriptive statistics

Standard deviation1.039136267
Coefficient of variation (CV)0.186655856
Kurtosis0.1869131602
Mean5.567123846
Median Absolute Deviation (MAD)0.6612734381
Skewness-0.3473966986
Sum78763.66817
Variance1.079804181
MonotonicityNot monotonic
2022-04-06T14:52:34.434529image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.78255224211
 
0.1%
4.5769319536
 
< 0.1%
5.5088329326
 
< 0.1%
3.4883282185
 
< 0.1%
4.9525318153
 
< 0.1%
3.8715665342
 
< 0.1%
6.0825858122
 
< 0.1%
5.0568990712
 
< 0.1%
4.7751951222
 
< 0.1%
7.2926797872
 
< 0.1%
Other values (14104)14107
99.7%
ValueCountFrequency (%)
0.59456229211
< 0.1%
2.1583694961
< 0.1%
2.1703606261
< 0.1%
2.2789891311
< 0.1%
2.3246829111
< 0.1%
ValueCountFrequency (%)
12.719176831
< 0.1%
11.420090551
< 0.1%
11.331875931
< 0.1%
10.662086691
< 0.1%
10.285925871
< 0.1%

rougher.output.tail_pb
Real number (ℝ≥0)

Distinct14126
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6532768922
Minimum0.007566065982
Maximum3.778063772
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:34.523443image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.007566065982
5-th percentile0.2906701379
Q10.4740472793
median0.6258046737
Q30.7943262804
95-th percentile1.098370006
Maximum3.778063772
Range3.770497706
Interquartile range (IQR)0.3202790012

Descriptive statistics

Standard deviation0.2637664451
Coefficient of variation (CV)0.4037590311
Kurtosis6.476372723
Mean0.6532768922
Median Absolute Deviation (MAD)0.1593843733
Skewness1.296849724
Sum9243.214747
Variance0.06957273754
MonotonicityNot monotonic
2022-04-06T14:52:34.606574image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.04870605510
 
0.1%
0.63372802735
 
< 0.1%
0.52825927735
 
< 0.1%
0.58294677735
 
< 0.1%
0.86029052733
 
< 0.1%
1.0317882021
 
< 0.1%
0.57085143581
 
< 0.1%
0.58139173071
 
< 0.1%
0.55506661571
 
< 0.1%
0.46532435921
 
< 0.1%
Other values (14116)14116
99.8%
ValueCountFrequency (%)
0.0075660659821
< 0.1%
0.009014076291
< 0.1%
0.011073040821
< 0.1%
0.013076750331
< 0.1%
0.013982802421
< 0.1%
ValueCountFrequency (%)
3.7780637721
< 0.1%
3.3201245261
< 0.1%
3.2871953591
< 0.1%
3.2473414471
< 0.1%
3.2261474881
< 0.1%

rougher.output.tail_sol
Real number (ℝ≥0)

Distinct14041
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.88285256
Minimum10.01464844
Maximum66.1171875
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:34.693142image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum10.01464844
5-th percentile12.2914468
Q115.68872702
median18.01589393
Q319.93867203
95-th percentile23.05227656
Maximum66.1171875
Range56.10253906
Interquartile range (IQR)4.249945002

Descriptive statistics

Standard deviation3.43285928
Coefficient of variation (CV)0.1919637411
Kurtosis19.27927544
Mean17.88285256
Median Absolute Deviation (MAD)2.108243192
Skewness1.559109382
Sum253024.4809
Variance11.78452284
MonotonicityNot monotonic
2022-04-06T14:52:34.772650image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0146484413
 
0.1%
18.1542968811
 
0.1%
20.904296888
 
0.1%
10.577148447
 
< 0.1%
10.077148447
 
< 0.1%
20.779296887
 
< 0.1%
15.202148446
 
< 0.1%
19.654296885
 
< 0.1%
10.139648445
 
< 0.1%
17.654296884
 
< 0.1%
Other values (14031)14076
99.5%
ValueCountFrequency (%)
10.0146484413
0.1%
10.024005431
 
< 0.1%
10.035362851
 
< 0.1%
10.058485361
 
< 0.1%
10.059291091
 
< 0.1%
ValueCountFrequency (%)
66.11718751
 
< 0.1%
65.61718753
< 0.1%
65.11718751
 
< 0.1%
61.328398591
 
< 0.1%
60.353159331
 
< 0.1%

rougher.output.tail_au
Real number (ℝ≥0)

Distinct14116
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.757473291
Minimum0.02067577915
Maximum9.688979686
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:34.860538image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.02067577915
5-th percentile0.6004133659
Q11.310800412
median1.745513484
Q32.186789947
95-th percentile2.907279192
Maximum9.688979686
Range9.668303907
Interquartile range (IQR)0.8759895355

Descriptive statistics

Standard deviation0.7131872155
Coefficient of variation (CV)0.4058025911
Kurtosis3.58631115
Mean1.757473291
Median Absolute Deviation (MAD)0.4375751188
Skewness0.6546646029
Sum24866.4896
Variance0.5086360044
MonotonicityNot monotonic
2022-04-06T14:52:34.946710image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.3091862211
 
0.1%
1.3524576436
 
< 0.1%
1.1356723316
 
< 0.1%
1.0287144185
 
< 0.1%
1.3467813733
 
< 0.1%
1.911785962
 
< 0.1%
0.60737794642
 
< 0.1%
2.10203292
 
< 0.1%
2.4090905192
 
< 0.1%
1.9288238292
 
< 0.1%
Other values (14106)14108
99.7%
ValueCountFrequency (%)
0.020675779151
< 0.1%
0.024544967321
< 0.1%
0.031234487891
< 0.1%
0.031642159351
< 0.1%
0.049730859211
< 0.1%
ValueCountFrequency (%)
9.6889796861
< 0.1%
8.7830822641
< 0.1%
8.6495978761
< 0.1%
8.1814860931
< 0.1%
6.0234508921
< 0.1%
Distinct14148
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1124.72628
Minimum-0.04107791888
Maximum1521.980372
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)< 0.1%
Memory size110.7 KiB
2022-04-06T14:52:35.031622image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.04107791888
5-th percentile995.5966996
Q1999.7991656
median1001.685708
Q31299.505513
95-th percentile1401.767506
Maximum1521.980372
Range1522.02145
Interquartile range (IQR)299.7063471

Descriptive statistics

Standard deviation169.310825
Coefficient of variation (CV)0.1505351372
Kurtosis-0.434756088
Mean1124.72628
Median Absolute Deviation (MAD)4.743896549
Skewness0.4858117189
Sum15912627.41
Variance28666.15545
MonotonicityNot monotonic
2022-04-06T14:52:35.113785image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
999.70690921
 
< 0.1%
1004.202761
 
< 0.1%
1001.5590541
 
< 0.1%
1001.4169111
 
< 0.1%
993.28499151
 
< 0.1%
1002.3137571
 
< 0.1%
1002.2414831
 
< 0.1%
998.84012691
 
< 0.1%
1004.2523241
 
< 0.1%
998.70851051
 
< 0.1%
Other values (14138)14138
99.9%
ValueCountFrequency (%)
-0.041077918881
< 0.1%
-0.020058875371
< 0.1%
155.59319361
< 0.1%
239.76899411
< 0.1%
266.27364151
< 0.1%
ValueCountFrequency (%)
1521.9803721
< 0.1%
1512.2995311
< 0.1%
1508.4633851
< 0.1%
1508.2934791
< 0.1%
1507.9162471
< 0.1%
Distinct14148
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-369.4609495
Minimum-650.2028808
Maximum-281.0392985
Zeros0
Zeros (%)0.0%
Negative14148
Negative (%)> 99.9%
Memory size110.7 KiB
2022-04-06T14:52:35.200310image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-650.2028808
5-th percentile-500.355265
Q1-499.7878673
median-300.1751249
Q3-299.9631534
95-th percentile-299.6877627
Maximum-281.0392985
Range369.1635823
Interquartile range (IQR)199.8247139

Descriptive statistics

Standard deviation93.95278697
Coefficient of variation (CV)-0.2542969348
Kurtosis-1.411029988
Mean-369.4609495
Median Absolute Deviation (MAD)0.355782915
Skewness-0.6881446502
Sum-5227133.514
Variance8827.12618
MonotonicityNot monotonic
2022-04-06T14:52:35.279485image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-404.06698611
 
< 0.1%
-299.9169771
 
< 0.1%
-300.09066411
 
< 0.1%
-300.4147631
 
< 0.1%
-299.94780481
 
< 0.1%
-299.42884061
 
< 0.1%
-300.26029971
 
< 0.1%
-300.06216781
 
< 0.1%
-299.71364411
 
< 0.1%
-299.91675781
 
< 0.1%
Other values (14138)14138
99.9%
ValueCountFrequency (%)
-650.20288081
< 0.1%
-650.17847061
< 0.1%
-650.08625541
< 0.1%
-650.0730621
< 0.1%
-650.05928521
< 0.1%
ValueCountFrequency (%)
-281.03929851
< 0.1%
-281.04196651
< 0.1%
-281.04463451
< 0.1%
-293.92012891
< 0.1%
-294.02966051
< 0.1%
Distinct14148
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1320.705069
Minimum-0.6533838308
Maximum1809.194008
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)< 0.1%
Memory size110.7 KiB
2022-04-06T14:52:35.364974image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.6533838308
5-th percentile1000.652232
Q11199.366448
median1301.365123
Q31449.553689
95-th percentile1603.3786
Maximum1809.194008
Range1809.847392
Interquartile range (IQR)250.1872408

Descriptive statistics

Standard deviation183.1559752
Coefficient of variation (CV)0.1386804515
Kurtosis-0.1148106144
Mean1320.705069
Median Absolute Deviation (MAD)102.8457327
Skewness-0.006209339052
Sum18685335.31
Variance33546.11126
MonotonicityNot monotonic
2022-04-06T14:52:35.445591image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1603.0113531
 
< 0.1%
1301.7164731
 
< 0.1%
1298.285691
 
< 0.1%
1302.28831
 
< 0.1%
1294.8080481
 
< 0.1%
1306.5869411
 
< 0.1%
1299.1753751
 
< 0.1%
1296.8744661
 
< 0.1%
1304.1569961
 
< 0.1%
1299.147591
 
< 0.1%
Other values (14138)14138
99.9%
ValueCountFrequency (%)
-0.65338383081
< 0.1%
-0.40807244181
< 0.1%
270.69646321
< 0.1%
271.74045121
< 0.1%
379.02313881
< 0.1%
ValueCountFrequency (%)
1809.1940081
< 0.1%
1807.2130411
< 0.1%
1805.9807731
< 0.1%
1804.4611141
< 0.1%
1804.2911461
< 0.1%
Distinct14148
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-464.2589832
Minimum-650.2600075
Maximum-296.38308
Zeros0
Zeros (%)0.0%
Negative14148
Negative (%)> 99.9%
Memory size110.7 KiB
2022-04-06T14:52:35.530890image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-650.2600075
5-th percentile-500.8954902
Q1-500.1830276
median-499.7646202
Q3-400.4254926
95-th percentile-349.9709405
Maximum-296.38308
Range353.8769276
Interquartile range (IQR)99.75753501

Descriptive statistics

Standard deviation57.40195377
Coefficient of variation (CV)-0.123642096
Kurtosis0.3280342434
Mean-464.2589832
Median Absolute Deviation (MAD)0.6404178271
Skewness1.217644039
Sum-6568336.094
Variance3294.984296
MonotonicityNot monotonic
2022-04-06T14:52:35.610854image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-434.71502691
 
< 0.1%
-500.09057391
 
< 0.1%
-499.94674321
 
< 0.1%
-501.6167021
 
< 0.1%
-499.18717951
 
< 0.1%
-499.04952331
 
< 0.1%
-501.26311271
 
< 0.1%
-500.1990621
 
< 0.1%
-500.1572491
 
< 0.1%
-499.97713031
 
< 0.1%
Other values (14138)14138
99.9%
ValueCountFrequency (%)
-650.26000751
< 0.1%
-650.25210841
< 0.1%
-650.24022091
< 0.1%
-606.22030121
< 0.1%
-558.96756051
< 0.1%
ValueCountFrequency (%)
-296.383081
< 0.1%
-298.03662211
< 0.1%
-298.07857611
< 0.1%
-298.22753741
< 0.1%
-298.25749491
< 0.1%
Distinct14148
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1299.360578
Minimum-0.03511233028
Maximum2499.129174
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)< 0.1%
Memory size110.7 KiB
2022-04-06T14:52:35.695268image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.03511233028
5-th percentile903.6057982
Q11103.095071
median1300.213385
Q31450.350668
95-th percentile1601.961491
Maximum2499.129174
Range2499.164286
Interquartile range (IQR)347.2555965

Descriptive statistics

Standard deviation213.4040937
Coefficient of variation (CV)0.1642377777
Kurtosis1.281721861
Mean1299.360578
Median Absolute Deviation (MAD)152.3614368
Skewness0.2225426939
Sum18383353.45
Variance45541.3072
MonotonicityNot monotonic
2022-04-06T14:52:35.778428image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1602.3751
 
< 0.1%
1303.5759011
 
< 0.1%
1300.2046141
 
< 0.1%
1302.4236691
 
< 0.1%
1294.7975241
 
< 0.1%
1302.94351
 
< 0.1%
1301.901021
 
< 0.1%
1295.8772261
 
< 0.1%
1304.5453231
 
< 0.1%
1298.7974961
 
< 0.1%
Other values (14138)14138
99.9%
ValueCountFrequency (%)
-0.035112330281
< 0.1%
-0.026301020881
< 0.1%
265.31535741
< 0.1%
291.20125791
< 0.1%
415.01741441
< 0.1%
ValueCountFrequency (%)
2499.1291741
< 0.1%
2499.1280431
< 0.1%
2499.1269131
< 0.1%
2499.1257821
< 0.1%
2499.1246511
< 0.1%
Distinct14148
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-465.0548492
Minimum-640.9956274
Maximum-292.1555088
Zeros0
Zeros (%)0.0%
Negative14148
Negative (%)> 99.9%
Memory size110.7 KiB
2022-04-06T14:52:35.862556image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-640.9956274
5-th percentile-501.1223551
Q1-500.2118628
median-499.6825283
Q3-400.6647363
95-th percentile-350.1438767
Maximum-292.1555088
Range348.8401186
Interquartile range (IQR)99.5471265

Descriptive statistics

Standard deviation55.9047163
Coefficient of variation (CV)-0.1202110168
Kurtosis0.2508873274
Mean-465.0548492
Median Absolute Deviation (MAD)0.8184484585
Skewness1.189722696
Sum-6579596.007
Variance3125.337305
MonotonicityNot monotonic
2022-04-06T14:52:35.947124image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-442.20446781
 
< 0.1%
-499.15266271
 
< 0.1%
-500.09638321
 
< 0.1%
-500.45443721
 
< 0.1%
-499.50931851
 
< 0.1%
-499.67404341
 
< 0.1%
-500.24669121
 
< 0.1%
-500.19354171
 
< 0.1%
-499.74818561
 
< 0.1%
-499.92407781
 
< 0.1%
Other values (14138)14138
99.9%
ValueCountFrequency (%)
-640.99562741
< 0.1%
-632.74393581
< 0.1%
-610.35751931
< 0.1%
-609.98926681
< 0.1%
-609.36914711
< 0.1%
ValueCountFrequency (%)
-292.15550881
< 0.1%
-293.2739881
< 0.1%
-295.10339041
< 0.1%
-296.38391871
< 0.1%
-296.8137671
< 0.1%

rougher.state.floatbank10_d_air
Real number (ℝ)

UNIQUE

Distinct14149
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1210.335236
Minimum-0.554298653
Maximum1817.19929
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)< 0.1%
Memory size110.7 KiB
2022-04-06T14:52:36.035445image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.554298653
5-th percentile848.1057942
Q11059.708509
median1200.744308
Q31344.378462
95-th percentile1597.045881
Maximum1817.19929
Range1817.753589
Interquartile range (IQR)284.6699527

Descriptive statistics

Standard deviation210.4315549
Coefficient of variation (CV)0.1738622066
Kurtosis-0.2161641909
Mean1210.335236
Median Absolute Deviation (MAD)141.9754307
Skewness0.07110014898
Sum17125033.26
Variance44281.43932
MonotonicityNot monotonic
2022-04-06T14:52:36.120821image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1598.9372561
 
< 0.1%
1200.5983241
 
< 0.1%
1198.1057391
 
< 0.1%
1209.5292181
 
< 0.1%
1191.4681231
 
< 0.1%
1207.4548951
 
< 0.1%
1200.557481
 
< 0.1%
1191.8887151
 
< 0.1%
1209.3584671
 
< 0.1%
1194.9955661
 
< 0.1%
Other values (14139)14139
99.9%
ValueCountFrequency (%)
-0.5542986531
< 0.1%
-0.12476554561
< 0.1%
304.0936641
< 0.1%
315.79194941
< 0.1%
410.13575821
< 0.1%
ValueCountFrequency (%)
1817.199291
< 0.1%
1811.538371
< 0.1%
1810.3488941
< 0.1%
1804.3822271
< 0.1%
1803.6227671
< 0.1%

rougher.state.floatbank10_d_level
Real number (ℝ)

UNIQUE

Distinct14149
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-465.4573768
Minimum-640.5190028
Maximum-208.330673
Zeros0
Zeros (%)0.0%
Negative14149
Negative (%)100.0%
Memory size110.7 KiB
2022-04-06T14:52:36.212497image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-640.5190028
5-th percentile-502.164501
Q1-500.359197
median-499.4652847
Q3-401.0528914
95-th percentile-350.2797526
Maximum-208.330673
Range432.1883298
Interquartile range (IQR)99.3063056

Descriptive statistics

Standard deviation55.77139301
Coefficient of variation (CV)-0.1198206233
Kurtosis0.2453401798
Mean-465.4573768
Median Absolute Deviation (MAD)1.432989226
Skewness1.177943563
Sum-6585756.424
Variance3110.448278
MonotonicityNot monotonic
2022-04-06T14:52:36.295481image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-451.29412841
 
< 0.1%
-501.06692141
 
< 0.1%
-500.45518371
 
< 0.1%
-500.31703651
 
< 0.1%
-499.05627131
 
< 0.1%
-500.38068921
 
< 0.1%
-500.51836731
 
< 0.1%
-501.46591541
 
< 0.1%
-499.40652871
 
< 0.1%
-499.23274241
 
< 0.1%
Other values (14139)14139
99.9%
ValueCountFrequency (%)
-640.51900281
< 0.1%
-626.68388851
< 0.1%
-617.7560311
< 0.1%
-612.56641981
< 0.1%
-610.66818631
< 0.1%
ValueCountFrequency (%)
-208.3306731
< 0.1%
-282.98620311
< 0.1%
-290.19039761
< 0.1%
-292.46356011
< 0.1%
-295.3707431
< 0.1%

rougher.state.floatbank10_e_air
Real number (ℝ)

MISSING

Distinct13713
Distinct (%)100.0%
Missing436
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean1090.213187
Minimum-1.970275346
Maximum1922.636637
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)< 0.1%
Memory size110.7 KiB
2022-04-06T14:52:36.382417image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-1.970275346
5-th percentile801.8013061
Q1997.1838641
median1050.496363
Q31200.047746
95-th percentile1449.334157
Maximum1922.636637
Range1924.606912
Interquartile range (IQR)202.8638817

Descriptive statistics

Standard deviation184.6101183
Coefficient of variation (CV)0.1693339619
Kurtosis0.5275257457
Mean1090.213187
Median Absolute Deviation (MAD)102.9270548
Skewness0.618012932
Sum14950093.44
Variance34080.89578
MonotonicityNot monotonic
2022-04-06T14:52:36.472053image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
950.65466491
 
< 0.1%
950.09757161
 
< 0.1%
950.97522991
 
< 0.1%
950.73350151
 
< 0.1%
949.4803231
 
< 0.1%
950.19706141
 
< 0.1%
950.85329221
 
< 0.1%
950.50226381
 
< 0.1%
948.55412881
 
< 0.1%
948.32188651
 
< 0.1%
Other values (13703)13703
96.8%
(Missing)436
 
3.1%
ValueCountFrequency (%)
-1.9702753461
< 0.1%
-1.9368774991
< 0.1%
94.37202291
< 0.1%
254.24673851
< 0.1%
365.77398971
< 0.1%
ValueCountFrequency (%)
1922.6366371
< 0.1%
1702.2477561
< 0.1%
1701.7863521
< 0.1%
1701.711941
< 0.1%
1701.2530091
< 0.1%

rougher.state.floatbank10_e_level
Real number (ℝ)

UNIQUE

Distinct14149
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-464.9191194
Minimum-649.4439109
Maximum-272.1995978
Zeros0
Zeros (%)0.0%
Negative14149
Negative (%)100.0%
Memory size110.7 KiB
2022-04-06T14:52:36.567622image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-649.4439109
5-th percentile-501.4109791
Q1-500.2500329
median-499.6114469
Q3-400.5961037
95-th percentile-350.0496888
Maximum-272.1995978
Range377.2443131
Interquartile range (IQR)99.65392924

Descriptive statistics

Standard deviation56.60296215
Coefficient of variation (CV)-0.1217479768
Kurtosis0.269375612
Mean-464.9191194
Median Absolute Deviation (MAD)0.9820176329
Skewness1.154269298
Sum-6578140.62
Variance3203.895324
MonotonicityNot monotonic
2022-04-06T14:52:36.653948image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-455.46298221
 
< 0.1%
-500.21695111
 
< 0.1%
-499.7527951
 
< 0.1%
-499.27866971
 
< 0.1%
-500.43052011
 
< 0.1%
-499.37512341
 
< 0.1%
-500.29755411
 
< 0.1%
-500.63296661
 
< 0.1%
-499.4425581
 
< 0.1%
-499.9353071
 
< 0.1%
Other values (14139)14139
99.9%
ValueCountFrequency (%)
-649.44391091
< 0.1%
-648.7621031
< 0.1%
-648.00244421
< 0.1%
-646.83190961
< 0.1%
-646.5118341
< 0.1%
ValueCountFrequency (%)
-272.19959781
< 0.1%
-294.83245351
< 0.1%
-296.87736651
< 0.1%
-296.91913041
< 0.1%
-297.10017131
< 0.1%

rougher.state.floatbank10_f_air
Real number (ℝ)

UNIQUE

Distinct14149
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1035.490299
Minimum-2.430587252
Maximum1706.307502
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)< 0.1%
Memory size110.7 KiB
2022-04-06T14:52:36.742510image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-2.430587252
5-th percentile800.5156667
Q1900.9669858
median1000.053757
Q31100.165435
95-th percentile1400.683326
Maximum1706.307502
Range1708.73809
Interquartile range (IQR)199.1984493

Descriptive statistics

Standard deviation175.0522794
Coefficient of variation (CV)0.1690525537
Kurtosis1.740492534
Mean1035.490299
Median Absolute Deviation (MAD)99.64762732
Skewness1.134019827
Sum14651152.24
Variance30643.30051
MonotonicityNot monotonic
2022-04-06T14:52:36.827580image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1416.354981
 
< 0.1%
950.31008841
 
< 0.1%
949.04733581
 
< 0.1%
951.55274971
 
< 0.1%
949.62571291
 
< 0.1%
950.16492131
 
< 0.1%
951.88648711
 
< 0.1%
948.64108591
 
< 0.1%
952.11548121
 
< 0.1%
949.74721311
 
< 0.1%
Other values (14139)14139
99.9%
ValueCountFrequency (%)
-2.4305872521
< 0.1%
-2.3286412951
< 0.1%
28.332355271
< 0.1%
244.1375611
< 0.1%
306.58671391
< 0.1%
ValueCountFrequency (%)
1706.3075021
< 0.1%
1704.7212061
< 0.1%
1702.7551731
< 0.1%
1702.3838481
< 0.1%
1701.6566591
< 0.1%

rougher.state.floatbank10_f_level
Real number (ℝ)

UNIQUE

Distinct14149
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-464.6886313
Minimum-649.8809814
Maximum-191.7184798
Zeros0
Zeros (%)0.0%
Negative14149
Negative (%)100.0%
Memory size110.7 KiB
2022-04-06T14:52:36.916094image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-649.8809814
5-th percentile-502.204883
Q1-500.4765258
median-499.364335
Q3-401.014951
95-th percentile-350.2105508
Maximum-191.7184798
Range458.1625017
Interquartile range (IQR)99.46157486

Descriptive statistics

Standard deviation56.64596548
Coefficient of variation (CV)-0.1219009067
Kurtosis0.2600751343
Mean-464.6886313
Median Absolute Deviation (MAD)1.654981905
Skewness1.146110588
Sum-6574879.444
Variance3208.765405
MonotonicityNot monotonic
2022-04-06T14:52:36.999231image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-451.93963621
 
< 0.1%
-500.25988671
 
< 0.1%
-500.60643871
 
< 0.1%
-502.31451331
 
< 0.1%
-499.22222591
 
< 0.1%
-499.058111
 
< 0.1%
-501.56166561
 
< 0.1%
-500.37236161
 
< 0.1%
-500.29337391
 
< 0.1%
-498.86875821
 
< 0.1%
Other values (14139)14139
99.9%
ValueCountFrequency (%)
-649.88098141
< 0.1%
-649.76441841
< 0.1%
-648.97349871
< 0.1%
-648.89613371
< 0.1%
-647.78347681
< 0.1%
ValueCountFrequency (%)
-191.71847981
< 0.1%
-243.84637641
< 0.1%
-258.30093871
< 0.1%
-286.58958061
< 0.1%
-292.46527491
< 0.1%

secondary_cleaner.output.tail_ag
Real number (ℝ≥0)

ZEROS

Distinct13403
Distinct (%)94.7%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean14.2816287
Minimum0
Maximum23.26473834
Zeros739
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:37.081732image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112.17736354
median15.35795124
Q317.23015056
95-th percentile19.29981902
Maximum23.26473834
Range23.26473834
Interquartile range (IQR)5.052787019

Descriptive statistics

Standard deviation4.477125773
Coefficient of variation (CV)0.3134884591
Kurtosis3.061562511
Mean14.2816287
Median Absolute Deviation (MAD)2.422843952
Skewness-1.635531192
Sum202042.2012
Variance20.04465519
MonotonicityNot monotonic
2022-04-06T14:52:37.168480image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0739
 
5.2%
18.263404855
 
< 0.1%
16.761260993
 
< 0.1%
14.500184061
 
< 0.1%
16.748434881
 
< 0.1%
16.064489961
 
< 0.1%
16.152893511
 
< 0.1%
16.356242751
 
< 0.1%
16.714207121
 
< 0.1%
15.585948491
 
< 0.1%
Other values (13393)13393
94.7%
(Missing)2
 
< 0.1%
ValueCountFrequency (%)
0739
5.2%
0.017409422931
 
< 0.1%
0.16757331911
 
< 0.1%
0.29536016721
 
< 0.1%
0.29603144821
 
< 0.1%
ValueCountFrequency (%)
23.264738341
< 0.1%
22.554791371
< 0.1%
22.346986881
< 0.1%
22.03413391
< 0.1%
21.862817161
< 0.1%

secondary_cleaner.output.tail_pb
Real number (ℝ≥0)

ZEROS

Distinct13393
Distinct (%)94.7%
Missing10
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean5.848863336
Minimum0
Maximum17.04250488
Zeros739
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:37.255438image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.982297748
median5.442309857
Q37.797947761
95-th percentile10.65633995
Maximum17.04250488
Range17.04250488
Interquartile range (IQR)3.815650013

Descriptive statistics

Standard deviation2.861798939
Coefficient of variation (CV)0.4892914699
Kurtosis0.124024791
Mean5.848863336
Median Absolute Deviation (MAD)1.85542965
Skewness0.2338788354
Sum82697.07871
Variance8.189893167
MonotonicityNot monotonic
2022-04-06T14:52:37.336746image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0739
 
5.2%
8.1396484385
 
< 0.1%
12.889648443
 
< 0.1%
8.2021484382
 
< 0.1%
5.9135742192
 
< 0.1%
7.0656760071
 
< 0.1%
7.6442577711
 
< 0.1%
7.0076407481
 
< 0.1%
7.5624736951
 
< 0.1%
6.4708701991
 
< 0.1%
Other values (13383)13383
94.6%
(Missing)10
 
0.1%
ValueCountFrequency (%)
0739
5.2%
0.0075137072931
 
< 0.1%
0.065370485051
 
< 0.1%
0.10037255251
 
< 0.1%
0.12708641621
 
< 0.1%
ValueCountFrequency (%)
17.042504881
< 0.1%
17.028828351
< 0.1%
16.788706141
< 0.1%
16.784315051
< 0.1%
16.783705751
< 0.1%

secondary_cleaner.output.tail_sol
Real number (ℝ≥0)

MISSING
ZEROS

Distinct11802
Distinct (%)94.1%
Missing1605
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean6.938693281
Minimum0
Maximum17.97617102
Zeros739
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:37.425217image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.22548579
median7.302639338
Q310.54706806
95-th percentile12.89149983
Maximum17.97617102
Range17.97617102
Interquartile range (IQR)7.321582273

Descriptive statistics

Standard deviation4.155487403
Coefficient of variation (CV)0.5988861641
Kurtosis-1.181741121
Mean6.938693281
Median Absolute Deviation (MAD)3.564509102
Skewness-0.09866170167
Sum87038.96851
Variance17.26807555
MonotonicityNot monotonic
2022-04-06T14:52:37.509604image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0739
 
5.2%
2.3161621095
 
< 0.1%
8.7646484381
 
< 0.1%
2.8826166461
 
< 0.1%
2.920799111
 
< 0.1%
2.900408281
 
< 0.1%
3.0305305691
 
< 0.1%
2.9018782171
 
< 0.1%
1.425300931
 
< 0.1%
1.0736934461
 
< 0.1%
Other values (11792)11792
83.3%
(Missing)1605
 
11.3%
ValueCountFrequency (%)
0739
5.2%
0.0148978661
 
< 0.1%
0.021719007121
 
< 0.1%
0.024451267621
 
< 0.1%
0.036183133141
 
< 0.1%
ValueCountFrequency (%)
17.976171021
< 0.1%
17.451713241
< 0.1%
16.994576261
< 0.1%
16.946289481
< 0.1%
16.558810461
< 0.1%

secondary_cleaner.output.tail_au
Real number (ℝ≥0)

ZEROS

Distinct13405
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.246960902
Minimum0
Maximum26.81164287
Zeros739
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:37.595336image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.153122061
median3.980209635
Q34.883942843
95-th percentile8.142627636
Maximum26.81164287
Range26.81164287
Interquartile range (IQR)1.730820782

Descriptive statistics

Standard deviation2.389060065
Coefficient of variation (CV)0.5625340379
Kurtosis16.88310377
Mean4.246960902
Median Absolute Deviation (MAD)0.8606452752
Skewness2.705941517
Sum60090.2498
Variance5.707607993
MonotonicityNot monotonic
2022-04-06T14:52:37.683534image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0739
 
5.2%
3.9511344435
 
< 0.1%
2.1402912143
 
< 0.1%
2.6061849591
 
< 0.1%
2.6525122331
 
< 0.1%
2.6284032851
 
< 0.1%
2.4704336261
 
< 0.1%
2.4712059931
 
< 0.1%
2.5583986061
 
< 0.1%
2.6888086371
 
< 0.1%
Other values (13395)13395
94.7%
ValueCountFrequency (%)
0739
5.2%
0.0058769491891
 
< 0.1%
0.033528749991
 
< 0.1%
0.040478072021
 
< 0.1%
0.042254127751
 
< 0.1%
ValueCountFrequency (%)
26.811642871
< 0.1%
25.650545241
< 0.1%
25.44012811
< 0.1%
25.217770811
< 0.1%
25.194447081
< 0.1%

secondary_cleaner.state.floatbank2_a_air
Real number (ℝ≥0)

MISSING

Distinct13931
Distinct (%)> 99.9%
Missing217
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean29.61364887
Minimum0.0775025575
Maximum52.65139882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:37.764919image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.0775025575
5-th percentile24.74209453
Q125.09958362
median30.02772133
Q334.89305731
95-th percentile35.10306157
Maximum52.65139882
Range52.57389626
Interquartile range (IQR)9.793473687

Descriptive statistics

Standard deviation5.800494208
Coefficient of variation (CV)0.1958723234
Kurtosis6.157257013
Mean29.61364887
Median Absolute Deviation (MAD)4.883471169
Skewness-1.840343322
Sum412577.3561
Variance33.64573306
MonotonicityNot monotonic
2022-04-06T14:52:37.849863image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.319265372
 
< 0.1%
25.853109361
 
< 0.1%
27.787362821
 
< 0.1%
26.46569751
 
< 0.1%
26.42246971
 
< 0.1%
26.276693761
 
< 0.1%
27.025709721
 
< 0.1%
27.134049391
 
< 0.1%
27.226759861
 
< 0.1%
27.319470331
 
< 0.1%
Other values (13921)13921
98.4%
(Missing)217
 
1.5%
ValueCountFrequency (%)
0.07750255751
< 0.1%
0.12201294631
< 0.1%
0.14254033881
< 0.1%
0.14404204491
< 0.1%
0.16279688781
< 0.1%
ValueCountFrequency (%)
52.651398821
< 0.1%
50.527890741
< 0.1%
48.822780951
< 0.1%
48.071989431
< 0.1%
46.91760521
< 0.1%
Distinct14148
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-502.2239144
Minimum-799.6064407
Maximum-127.8755653
Zeros0
Zeros (%)0.0%
Negative14148
Negative (%)> 99.9%
Memory size110.7 KiB
2022-04-06T14:52:37.935496image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-799.6064407
5-th percentile-503.5148959
Q1-500.248814
median-499.9592058
Q3-499.5931978
95-th percentile-400.2846867
Maximum-127.8755653
Range671.7308754
Interquartile range (IQR)0.6556162408

Descriptive statistics

Standard deviation60.28170495
Coefficient of variation (CV)-0.1200295391
Kurtosis15.46752084
Mean-502.2239144
Median Absolute Deviation (MAD)0.3213903305
Skewness-3.036901166
Sum-7105463.94
Variance3633.883952
MonotonicityNot monotonic
2022-04-06T14:52:38.022042image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-498.52648931
 
< 0.1%
-499.98961481
 
< 0.1%
-499.2509281
 
< 0.1%
-501.29216491
 
< 0.1%
-498.78165691
 
< 0.1%
-499.82180621
 
< 0.1%
-501.14881221
 
< 0.1%
-499.61357941
 
< 0.1%
-498.74277391
 
< 0.1%
-499.9056981
 
< 0.1%
Other values (14138)14138
99.9%
ValueCountFrequency (%)
-799.60644071
< 0.1%
-799.60576171
< 0.1%
-799.60272371
< 0.1%
-799.59900681
< 0.1%
-799.59885111
< 0.1%
ValueCountFrequency (%)
-127.87556531
< 0.1%
-166.93310321
< 0.1%
-172.63907761
< 0.1%
-179.58385671
< 0.1%
-194.45562031
< 0.1%
Distinct13993
Distinct (%)99.0%
Missing21
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean24.9144034
Minimum0
Maximum35.15212197
Zeros8
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:38.112449image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.96826611
Q122.04829357
median27.02278322
Q328.93945407
95-th percentile31.93438723
Maximum35.15212197
Range35.15212197
Interquartile range (IQR)6.891160499

Descriptive statistics

Standard deviation5.994958579
Coefficient of variation (CV)0.2406222009
Kurtosis3.632120985
Mean24.9144034
Median Absolute Deviation (MAD)2.971574265
Skewness-1.626306525
Sum351990.6912
Variance35.93952836
MonotonicityNot monotonic
2022-04-06T14:52:38.197196image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.428796682 × 10-1766
 
0.5%
1.025954562 × 10-1639
 
0.3%
2.163408042 × 10-1619
 
0.1%
08
 
0.1%
8.21001987 × 10-185
 
< 0.1%
4.178749695 × 10-174
 
< 0.1%
23.066355881
 
< 0.1%
23.129989691
 
< 0.1%
23.100728951
 
< 0.1%
23.03198281
 
< 0.1%
Other values (13983)13983
98.8%
(Missing)21
 
0.1%
ValueCountFrequency (%)
08
0.1%
6.778101186 × 10-181
 
< 0.1%
8.21001987 × 10-185
< 0.1%
9.309321425 × 10-181
 
< 0.1%
1.2765265 × 10-171
 
< 0.1%
ValueCountFrequency (%)
35.152121971
< 0.1%
35.089582851
< 0.1%
35.079774121
< 0.1%
35.07775231
< 0.1%
35.06603621
< 0.1%
Distinct14148
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-503.6957056
Minimum-799.8738782
Maximum-212.0646651
Zeros0
Zeros (%)0.0%
Negative14148
Negative (%)> 99.9%
Memory size110.7 KiB
2022-04-06T14:52:38.283147image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-799.8738782
5-th percentile-506.7298038
Q1-500.2709975
median-500.0140916
Q3-499.7641117
95-th percentile-400.2086292
Maximum-212.0646651
Range587.8092131
Interquartile range (IQR)0.5068857969

Descriptive statistics

Standard deviation62.83735685
Coefficient of variation (CV)-0.1247526158
Kurtosis12.61575444
Mean-503.6957056
Median Absolute Deviation (MAD)0.2539913165
Skewness-2.751019707
Sum-7126286.842
Variance3948.533415
MonotonicityNot monotonic
2022-04-06T14:52:38.363714image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-501.40628051
 
< 0.1%
-500.07954231
 
< 0.1%
-499.94915471
 
< 0.1%
-500.08285651
 
< 0.1%
-499.885691
 
< 0.1%
-499.8768621
 
< 0.1%
-499.99857351
 
< 0.1%
-500.2960911
 
< 0.1%
-500.11209381
 
< 0.1%
-499.8821981
 
< 0.1%
Other values (14138)14138
99.9%
ValueCountFrequency (%)
-799.87387821
< 0.1%
-799.87029251
< 0.1%
-799.86289461
< 0.1%
-799.86261341
< 0.1%
-799.85493441
< 0.1%
ValueCountFrequency (%)
-212.06466511
< 0.1%
-216.66081391
< 0.1%
-221.68480161
< 0.1%
-223.04532261
< 0.1%
-224.82832591
< 0.1%
Distinct14142
Distinct (%)> 99.9%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean29.24337168
Minimum0
Maximum44.26046365
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:38.452465image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20.00088619
Q124.99166208
median28.01653014
Q334.99009509
95-th percentile37.98109622
Maximum44.26046365
Range44.26046365
Interquartile range (IQR)9.998433013

Descriptive statistics

Standard deviation5.637308889
Coefficient of variation (CV)0.192772193
Kurtosis-0.6724865554
Mean29.24337168
Median Absolute Deviation (MAD)4.040848744
Skewness0.008791445028
Sum413647.4924
Variance31.77925151
MonotonicityNot monotonic
2022-04-06T14:52:38.532389image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.833598097 × 10-214
 
< 0.1%
23.961797711
 
< 0.1%
25.985223511
 
< 0.1%
22.962329211
 
< 0.1%
22.991883731
 
< 0.1%
22.947650211
 
< 0.1%
23.010665341
 
< 0.1%
22.981624711
 
< 0.1%
23.658074471
 
< 0.1%
23.524757721
 
< 0.1%
Other values (14132)14132
99.9%
(Missing)4
 
< 0.1%
ValueCountFrequency (%)
01
 
< 0.1%
1.833598097 × 10-214
< 0.1%
1.511457751 × 10-71
 
< 0.1%
0.00051751710151
 
< 0.1%
9.9583183451
 
< 0.1%
ValueCountFrequency (%)
44.260463651
< 0.1%
44.064410131
< 0.1%
44.033939731
< 0.1%
44.025997981
< 0.1%
44.019434081
< 0.1%
Distinct14148
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-478.2440593
Minimum-799.6130134
Maximum-191.6788101
Zeros0
Zeros (%)0.0%
Negative14148
Negative (%)> 99.9%
Memory size110.7 KiB
2022-04-06T14:52:38.615325image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-799.6130134
5-th percentile-501.1282544
Q1-500.1750648
median-499.8778371
Q3-436.9231658
95-th percentile-399.6880773
Maximum-191.6788101
Range607.9342033
Interquartile range (IQR)63.25189905

Descriptive statistics

Standard deviation54.6551428
Coefficient of variation (CV)-0.1142829518
Kurtosis7.676595807
Mean-478.2440593
Median Absolute Deviation (MAD)0.4279268441
Skewness-0.9338461682
Sum-6766196.951
Variance2987.184634
MonotonicityNot monotonic
2022-04-06T14:52:38.694026image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-495.26281741
 
< 0.1%
-499.73628231
 
< 0.1%
-500.38580331
 
< 0.1%
-500.07942781
 
< 0.1%
-500.04439951
 
< 0.1%
-499.90955181
 
< 0.1%
-499.75767851
 
< 0.1%
-500.05403791
 
< 0.1%
-499.44423111
 
< 0.1%
-499.45127211
 
< 0.1%
Other values (14138)14138
99.9%
ValueCountFrequency (%)
-799.61301341
< 0.1%
-799.60921931
< 0.1%
-799.60761451
< 0.1%
-799.60726761
< 0.1%
-799.60692061
< 0.1%
ValueCountFrequency (%)
-191.67881011
< 0.1%
-246.39632381
< 0.1%
-246.47985971
< 0.1%
-252.87829581
< 0.1%
-262.84341181
< 0.1%
Distinct14145
Distinct (%)> 99.9%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean22.65626087
Minimum0
Maximum35.07284063
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:38.777281image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.07472673
Q119.94843573
median22.03726951
Q325.97036526
95-th percentile31.95413607
Maximum35.07284063
Range35.07284063
Interquartile range (IQR)6.021929528

Descriptive statistics

Standard deviation4.996016901
Coefficient of variation (CV)0.2205137436
Kurtosis0.1956769359
Mean22.65626087
Median Absolute Deviation (MAD)3.008979441
Skewness0.1683377261
Sum320540.7788
Variance24.96018487
MonotonicityNot monotonic
2022-04-06T14:52:38.857233image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.137256054 × 10-224
 
< 0.1%
21.940408711
 
< 0.1%
18.995274171
 
< 0.1%
16.012890181
 
< 0.1%
16.020909771
 
< 0.1%
16.01063621
 
< 0.1%
16.035305691
 
< 0.1%
15.984345041
 
< 0.1%
15.964177371
 
< 0.1%
16.511945691
 
< 0.1%
Other values (14135)14135
99.9%
ValueCountFrequency (%)
01
 
< 0.1%
6.137256054 × 10-224
< 0.1%
7.771139531 × 10-51
 
< 0.1%
0.00017321865531
 
< 0.1%
6.7716268611
 
< 0.1%
ValueCountFrequency (%)
35.072840631
< 0.1%
35.062210531
< 0.1%
35.060890151
< 0.1%
35.054238491
< 0.1%
35.052307851
< 0.1%
Distinct14148
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-488.9240459
Minimum-759.1773809
Maximum-159.7423308
Zeros0
Zeros (%)0.0%
Negative14148
Negative (%)> 99.9%
Memory size110.7 KiB
2022-04-06T14:52:38.941270image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-759.1773809
5-th percentile-500.8641951
Q1-500.1105809
median-499.9668092
Q3-499.7575012
95-th percentile-399.8806429
Maximum-159.7423308
Range599.4350501
Interquartile range (IQR)0.3530796345

Descriptive statistics

Standard deviation41.92811222
Coefficient of variation (CV)-0.08575588083
Kurtosis14.18946131
Mean-488.9240459
Median Absolute Deviation (MAD)0.1655570092
Skewness-0.09533420033
Sum-6917297.401
Variance1757.966594
MonotonicityNot monotonic
2022-04-06T14:52:39.023303image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-499.34097291
 
< 0.1%
-499.95980221
 
< 0.1%
-500.20603611
 
< 0.1%
-500.13029391
 
< 0.1%
-499.93130631
 
< 0.1%
-499.96732661
 
< 0.1%
-499.98446281
 
< 0.1%
-500.20154251
 
< 0.1%
-499.63202051
 
< 0.1%
-498.62828621
 
< 0.1%
Other values (14138)14138
99.9%
ValueCountFrequency (%)
-759.17738091
< 0.1%
-757.80176451
< 0.1%
-757.51713851
< 0.1%
-757.27599681
< 0.1%
-757.2160181
< 0.1%
ValueCountFrequency (%)
-159.74233081
< 0.1%
-159.79751631
< 0.1%
-163.88853931
< 0.1%
-179.15791371
< 0.1%
-186.53000691
< 0.1%
Distinct14143
Distinct (%)100.0%
Missing6
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean19.98545422
Minimum0
Maximum30.11573543
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:39.107805image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.08216873
Q114.99077534
median20.00178908
Q324.99082646
95-th percentile30.00374608
Maximum30.11573543
Range30.11573543
Interquartile range (IQR)10.00005112

Descriptive statistics

Standard deviation5.657722846
Coefficient of variation (CV)0.283092032
Kurtosis-0.9575487479
Mean19.98545422
Median Absolute Deviation (MAD)4.992431846
Skewness0.01482841941
Sum282654.279
Variance32.0098278
MonotonicityNot monotonic
2022-04-06T14:52:39.186260image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.016835211
 
< 0.1%
14.521103661
 
< 0.1%
14.497231061
 
< 0.1%
14.482951591
 
< 0.1%
14.504022421
 
< 0.1%
14.539962721
 
< 0.1%
14.526668021
 
< 0.1%
14.524611551
 
< 0.1%
14.495779141
 
< 0.1%
14.501312771
 
< 0.1%
Other values (14133)14133
99.9%
(Missing)6
 
< 0.1%
ValueCountFrequency (%)
01
< 0.1%
7.271604704 × 10-51
< 0.1%
4.5027958441
< 0.1%
4.9840069881
< 0.1%
5.0060601061
< 0.1%
ValueCountFrequency (%)
30.115735431
< 0.1%
30.084500111
< 0.1%
30.078766071
< 0.1%
30.075581041
< 0.1%
30.075499481
< 0.1%
Distinct14148
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-478.6968357
Minimum-799.7090691
Maximum-245.2391837
Zeros0
Zeros (%)0.0%
Negative14148
Negative (%)> 99.9%
Memory size110.7 KiB
2022-04-06T14:52:39.270790image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-799.7090691
5-th percentile-505.3940497
Q1-500.6286565
median-499.6814499
Q3-477.4724133
95-th percentile-399.1779483
Maximum-245.2391837
Range554.4698854
Interquartile range (IQR)23.15624314

Descriptive statistics

Standard deviation50.73602064
Coefficient of variation (CV)-0.105987792
Kurtosis6.135836325
Mean-478.6968357
Median Absolute Deviation (MAD)1.308645034
Skewness-0.4710697274
Sum-6772602.831
Variance2574.14379
MonotonicityNot monotonic
2022-04-06T14:52:39.350812image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-502.48800661
 
< 0.1%
-499.62799051
 
< 0.1%
-499.19988571
 
< 0.1%
-499.82464111
 
< 0.1%
-501.19468041
 
< 0.1%
-498.84182431
 
< 0.1%
-500.81909991
 
< 0.1%
-499.60429211
 
< 0.1%
-499.69648581
 
< 0.1%
-496.9223741
 
< 0.1%
Other values (14138)14138
99.9%
ValueCountFrequency (%)
-799.70906911
< 0.1%
-799.70675661
< 0.1%
-799.6914691
< 0.1%
-799.68344491
< 0.1%
-799.6809851
< 0.1%
ValueCountFrequency (%)
-245.23918371
< 0.1%
-326.00092991
< 0.1%
-334.92840851
< 0.1%
-351.9220041
< 0.1%
-366.99002131
< 0.1%
Distinct14144
Distinct (%)> 99.9%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean15.48706532
Minimum0
Maximum24.00791269
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:39.433609image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.953762309
Q111.89455777
median14.97553644
Q320.05937483
95-th percentile23.03174721
Maximum24.00791269
Range24.00791269
Interquartile range (IQR)8.164817052

Descriptive statistics

Standard deviation5.255654839
Coefficient of variation (CV)0.3393576983
Kurtosis-1.121049327
Mean15.48706532
Median Absolute Deviation (MAD)4.951969282
Skewness0.06846157627
Sum219111.0001
Variance27.62190779
MonotonicityNot monotonic
2022-04-06T14:52:39.515457image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.0488100055
 
< 0.1%
12.099930761
 
< 0.1%
10.971227681
 
< 0.1%
10.999287141
 
< 0.1%
11.109359521
 
< 0.1%
10.976354991
 
< 0.1%
11.074278981
 
< 0.1%
11.122471551
 
< 0.1%
11.087301381
 
< 0.1%
11.064838671
 
< 0.1%
Other values (14134)14134
99.9%
ValueCountFrequency (%)
01
< 0.1%
6.802814105 × 10-51
< 0.1%
4.8157166531
< 0.1%
4.8185378521
< 0.1%
4.8420029411
< 0.1%
ValueCountFrequency (%)
24.007912691
< 0.1%
24.003722461
< 0.1%
23.988975811
< 0.1%
23.981197981
< 0.1%
23.98105491
< 0.1%
Distinct14146
Distinct (%)> 99.9%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-460.2294159
Minimum-799.8891125
Maximum-145.0710881
Zeros0
Zeros (%)0.0%
Negative14148
Negative (%)> 99.9%
Memory size110.7 KiB
2022-04-06T14:52:39.598595image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-799.8891125
5-th percentile-503.9381469
Q1-500.1490002
median-499.3887377
Q3-400.0390081
95-th percentile-380.0201156
Maximum-145.0710881
Range654.8180244
Interquartile range (IQR)100.1099921

Descriptive statistics

Standard deviation58.8435858
Coefficient of variation (CV)-0.1278570725
Kurtosis3.339236554
Mean-460.2294159
Median Absolute Deviation (MAD)3.037178756
Skewness-0.4612086079
Sum-6511325.776
Variance3462.56759
MonotonicityNot monotonic
2022-04-06T14:52:39.683041image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-799.86083983
 
< 0.1%
-504.71594241
 
< 0.1%
-399.95174121
 
< 0.1%
-399.66255691
 
< 0.1%
-400.31407771
 
< 0.1%
-400.27633521
 
< 0.1%
-399.23159491
 
< 0.1%
-400.72718561
 
< 0.1%
-399.84926831
 
< 0.1%
-400.09232581
 
< 0.1%
Other values (14136)14136
99.9%
ValueCountFrequency (%)
-799.88911251
 
< 0.1%
-799.86471941
 
< 0.1%
-799.86198151
 
< 0.1%
-799.86083983
< 0.1%
-799.86076731
 
< 0.1%
ValueCountFrequency (%)
-145.07108811
< 0.1%
-163.74224171
< 0.1%
-175.28477231
< 0.1%
-176.41132041
< 0.1%
-189.64798941
< 0.1%
Distinct14148
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean16.77513597
Minimum-0.3720539853
Maximum43.70993098
Zeros0
Zeros (%)0.0%
Negative28
Negative (%)0.2%
Memory size110.7 KiB
2022-04-06T14:52:39.769337image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.3720539853
5-th percentile8.709870436
Q111.0839797
median17.93222313
Q321.34655016
95-th percentile26.00222763
Maximum43.70993098
Range44.08198496
Interquartile range (IQR)10.26257046

Descriptive statistics

Standard deviation5.831906005
Coefficient of variation (CV)0.3476517874
Kurtosis-0.6939167084
Mean16.77513597
Median Absolute Deviation (MAD)5.086544237
Skewness0.2473173036
Sum237334.6237
Variance34.01112765
MonotonicityNot monotonic
2022-04-06T14:52:39.851636image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.925633431
 
< 0.1%
13.998315031
 
< 0.1%
14.009129631
 
< 0.1%
13.977280481
 
< 0.1%
13.979646071
 
< 0.1%
13.991274461
 
< 0.1%
13.978064131
 
< 0.1%
14.008306111
 
< 0.1%
14.001757351
 
< 0.1%
13.996739011
 
< 0.1%
Other values (14138)14138
99.9%
ValueCountFrequency (%)
-0.37205398531
< 0.1%
-0.37197932651
< 0.1%
-0.37173881581
< 0.1%
-0.3714983051
< 0.1%
-0.37149074471
< 0.1%
ValueCountFrequency (%)
43.709930981
< 0.1%
42.077701311
< 0.1%
41.442307081
< 0.1%
40.527658721
< 0.1%
35.759487471
< 0.1%
Distinct14148
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-483.9560224
Minimum-797.1424746
Maximum-275.0731255
Zeros0
Zeros (%)0.0%
Negative14148
Negative (%)> 99.9%
Memory size110.7 KiB
2022-04-06T14:52:39.934703image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-797.1424746
5-th percentile-502.6961764
Q1-500.3631772
median-499.7024517
Q3-487.7121081
95-th percentile-399.9224374
Maximum-275.0731255
Range522.0693492
Interquartile range (IQR)12.65106916

Descriptive statistics

Standard deviation37.89278798
Coefficient of variation (CV)-0.07829799863
Kurtosis4.38487612
Mean-483.9560224
Median Absolute Deviation (MAD)0.9428172624
Skewness1.25955448
Sum-6847009.805
Variance1435.863381
MonotonicityNot monotonic
2022-04-06T14:52:40.021412image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-498.31021121
 
< 0.1%
-500.89259271
 
< 0.1%
-498.28588681
 
< 0.1%
-499.66776121
 
< 0.1%
-497.93609281
 
< 0.1%
-502.229621
 
< 0.1%
-499.20854491
 
< 0.1%
-500.86803781
 
< 0.1%
-498.8549571
 
< 0.1%
-499.34939111
 
< 0.1%
Other values (14138)14138
99.9%
ValueCountFrequency (%)
-797.14247461
< 0.1%
-792.79453841
< 0.1%
-721.65392211
< 0.1%
-637.39812711
< 0.1%
-620.8324221
< 0.1%
ValueCountFrequency (%)
-275.07312551
< 0.1%
-282.53486841
< 0.1%
-287.91000861
< 0.1%
-288.96352081
< 0.1%
-295.06144061
< 0.1%
Distinct14148
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean13.06458984
Minimum0.6462076736
Maximum27.92600139
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:40.108632image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.6462076736
5-th percentile5.00496273
Q18.994404924
median11.99754652
Q317.98290347
95-th percentile23.98362737
Maximum27.92600139
Range27.27979372
Interquartile range (IQR)8.988498543

Descriptive statistics

Standard deviation5.765617171
Coefficient of variation (CV)0.4413163554
Kurtosis-0.8260056486
Mean13.06458984
Median Absolute Deviation (MAD)3.051095722
Skewness0.5137274902
Sum184837.817
Variance33.24234137
MonotonicityNot monotonic
2022-04-06T14:52:40.189440image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.0796661381
 
< 0.1%
11.028349291
 
< 0.1%
11.018268921
 
< 0.1%
11.01545561
 
< 0.1%
10.991812371
 
< 0.1%
10.998771081
 
< 0.1%
10.978675541
 
< 0.1%
11.009539731
 
< 0.1%
10.971086441
 
< 0.1%
11.015962221
 
< 0.1%
Other values (14138)14138
99.9%
ValueCountFrequency (%)
0.64620767361
< 0.1%
0.66804294981
< 0.1%
0.67940858621
< 0.1%
0.6922236331
< 0.1%
1.3584694111
< 0.1%
ValueCountFrequency (%)
27.926001391
< 0.1%
24.80368371
< 0.1%
24.326359921
< 0.1%
24.206426071
< 0.1%
24.177105931
< 0.1%
Distinct14148
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-483.9665643
Minimum-800.0061798
Maximum-157.3960709
Zeros0
Zeros (%)0.0%
Negative14148
Negative (%)> 99.9%
Memory size110.7 KiB
2022-04-06T14:52:40.273755image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-800.0061798
5-th percentile-500.5858734
Q1-500.1059939
median-499.9145557
Q3-453.1869364
95-th percentile-399.9745534
Maximum-157.3960709
Range642.6101089
Interquartile range (IQR)46.91905751

Descriptive statistics

Standard deviation39.20791334
Coefficient of variation (CV)-0.08101368201
Kurtosis8.668809969
Mean-483.9665643
Median Absolute Deviation (MAD)0.2646204787
Skewness0.4986988468
Sum-6847158.952
Variance1537.260469
MonotonicityNot monotonic
2022-04-06T14:52:40.355987image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-500.47097781
 
< 0.1%
-500.20202981
 
< 0.1%
-529.43997961
 
< 0.1%
-499.85033451
 
< 0.1%
-499.86885961
 
< 0.1%
-500.55037781
 
< 0.1%
-499.88793861
 
< 0.1%
-500.18172221
 
< 0.1%
-499.94207081
 
< 0.1%
-500.39986731
 
< 0.1%
Other values (14138)14138
99.9%
ValueCountFrequency (%)
-800.00617981
< 0.1%
-800.0016391
< 0.1%
-799.99970241
< 0.1%
-799.99328721
< 0.1%
-799.98958311
< 0.1%
ValueCountFrequency (%)
-157.39607091
< 0.1%
-181.73265971
< 0.1%
-183.44225181
< 0.1%
-185.72089041
< 0.1%
-194.13267721
< 0.1%
Distinct14147
Distinct (%)100.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean19.57753945
Minimum0.1953243299
Maximum32.18890566
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size110.7 KiB
2022-04-06T14:52:40.442434image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.1953243299
5-th percentile11.00499623
Q114.98930401
median19.98417539
Q324.99162253
95-th percentile29.99618915
Maximum32.18890566
Range31.99358133
Interquartile range (IQR)10.00231851

Descriptive statistics

Standard deviation5.764417059
Coefficient of variation (CV)0.294440324
Kurtosis-0.940460543
Mean19.57753945
Median Absolute Deviation (MAD)5.002770187
Skewness0.09274836572
Sum276963.4506
Variance33.22850403
MonotonicityNot monotonic
2022-04-06T14:52:40.535705image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.151341441
 
< 0.1%
15.00787661
 
< 0.1%
14.991722891
 
< 0.1%
15.019526111
 
< 0.1%
15.002356821
 
< 0.1%
14.992177691
 
< 0.1%
15.01239691
 
< 0.1%
14.999751081
 
< 0.1%
15.030353871
 
< 0.1%
14.997463691
 
< 0.1%
Other values (14137)14137
99.9%
(Missing)2
 
< 0.1%
ValueCountFrequency (%)
0.19532432991
< 0.1%
0.20583990321
< 0.1%
0.21452933321
< 0.1%
0.21747053241
< 0.1%
0.22910116161
< 0.1%
ValueCountFrequency (%)
32.188905661
< 0.1%
32.075604941
< 0.1%
32.062388371
< 0.1%
32.042386741
< 0.1%
32.037007171
< 0.1%
Distinct14148
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-506.7984803
Minimum-809.3986675
Maximum-104.4274592
Zeros0
Zeros (%)0.0%
Negative14148
Negative (%)> 99.9%
Memory size110.7 KiB
2022-04-06T14:52:40.622912image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-809.3986675
5-th percentile-599.9372317
Q1-500.7451042
median-500.0614314
Q3-499.5364657
95-th percentile-496.9120448
Maximum-104.4274592
Range704.9712084
Interquartile range (IQR)1.208638525

Descriptive statistics

Standard deviation37.07924927
Coefficient of variation (CV)-0.07316369468
Kurtosis14.45583493
Mean-506.7984803
Median Absolute Deviation (MAD)0.5943756076
Skewness-1.944616994
Sum-7170184.899
Variance1374.870727
MonotonicityNot monotonic
2022-04-06T14:52:40.712419image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-605.841981
 
< 0.1%
-500.34869021
 
< 0.1%
-499.42927071
 
< 0.1%
-499.97006661
 
< 0.1%
-498.83652671
 
< 0.1%
-501.49875241
 
< 0.1%
-498.91592471
 
< 0.1%
-500.58288071
 
< 0.1%
-500.1725431
 
< 0.1%
-499.42563651
 
< 0.1%
Other values (14138)14138
99.9%
ValueCountFrequency (%)
-809.39866751
< 0.1%
-809.39260241
< 0.1%
-809.35955921
< 0.1%
-809.05786411
< 0.1%
-809.04579471
< 0.1%
ValueCountFrequency (%)
-104.42745921
< 0.1%
-203.92338021
< 0.1%
-273.02249781
< 0.1%
-294.81487921
< 0.1%
-322.40232661
< 0.1%